Triple
T21989495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UDDI |
E543045
|
entity |
| Predicate | definesConcept |
P773
|
FINISHED |
| Object |
tModel
tModel is a UDDI data structure that provides a standardized, reusable description of technical specifications or service interfaces to enable consistent discovery and interoperability in web services registries.
|
E1511409
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: tModel | Statement: [UDDI, definesConcept, tModel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tModel Context triple: [UDDI, definesConcept, tModel]
-
A.
T-Model
The T-Model was an early leather football design used in top-level international competitions, including the inaugural FIFA World Cup.
-
B.
T-Modell
The T-Modell is the station wagon variant of Mercedes-Benz passenger cars, offering extended cargo space and practicality compared to the sedan versions.
-
C.
Modell
Modell is the surname of Art Modell, the influential former owner of the NFL’s Cleveland Browns and Baltimore Ravens.
-
D.
Tucker model
The Tucker model is a form of higher-order principal component analysis that decomposes a tensor into a core tensor multiplied by factor matrices along each mode, widely used for multi-way data analysis.
-
E.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: tModel Triple: [UDDI, definesConcept, tModel]
Generated description
tModel is a UDDI data structure that provides a standardized, reusable description of technical specifications or service interfaces to enable consistent discovery and interoperability in web services registries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: tModel Target entity description: tModel is a UDDI data structure that provides a standardized, reusable description of technical specifications or service interfaces to enable consistent discovery and interoperability in web services registries.
-
A.
T-Model
The T-Model was an early leather football design used in top-level international competitions, including the inaugural FIFA World Cup.
-
B.
T-Modell
The T-Modell is the station wagon variant of Mercedes-Benz passenger cars, offering extended cargo space and practicality compared to the sedan versions.
-
C.
Modell
Modell is the surname of Art Modell, the influential former owner of the NFL’s Cleveland Browns and Baltimore Ravens.
-
D.
Tucker model
The Tucker model is a form of higher-order principal component analysis that decomposes a tensor into a core tensor multiplied by factor matrices along each mode, widely used for multi-way data analysis.
-
E.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270cb67c81909a3aa2dc61c1894f |
completed | April 28, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a6d81c92481909a58757f929f904c |
completed | May 18, 2026, 1:38 a.m. |
| NEDg | Description generation | batch_6a0a6e18d4f48190bfb917c9c9109ea5 |
completed | May 18, 2026, 1:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a6ee682a88190b8d4c1392b337fa1 |
completed | May 18, 2026, 1:44 a.m. |
Created at: April 16, 2026, 8:05 p.m.