Triple
T30879874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dashboard |
E786580
|
entity |
| Predicate | widgetTechnology |
P1482
|
FINISHED |
| Object | HTML |
—
|
LITERAL FINISHED |
How this triple was built (2 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: HTML | Statement: [Dashboard, widgetTechnology, HTML]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: widgetTechnology Context triple: [Dashboard, widgetTechnology, HTML]
-
A.
viewOnTechnology
Indicates how an entity perceives, evaluates, or holds opinions about technology and its role or impact.
-
B.
technologyType
chosen
Indicates the specific kind or category of technology associated with an entity or relationship.
-
C.
technologyClass
Indicates the classification or category of technology to which an entity belongs.
-
D.
technologicalFeature
Indicates that one entity possesses, exhibits, or is characterized by a specific technological capability, component, or functionality in relation to another entity.
-
E.
technologyInteractedWith
Indicates that an entity has used, engaged with, or otherwise interacted with a particular technology.
- F. None of above.
Provenance (3 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_69f224bae17c8190bb3a6a28e3d019df |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f691d99c0c81909eb316731f7d2feb |
completed | May 3, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:48 p.m.