Triple
T14229014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltimore City Landmark |
E352700
|
entity |
| Predicate | typeOfPropertyDesignated |
P3586
|
FINISHED |
| Object | buildings |
—
|
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: buildings | Statement: [Baltimore City Landmark, typeOfPropertyDesignated, buildings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPropertyDesignated Context triple: [Baltimore City Landmark, typeOfPropertyDesignated, buildings]
-
A.
typeOfPropertyManaged
Indicates the specific category or kind of property that an entity is responsible for managing.
-
B.
hasPropertyType
chosen
Indicates that an entity possesses or is associated with a specific type or category of property.
-
C.
identifiesPropertyOf
Indicates that one entity specifies or denotes a particular property or attribute belonging to another entity.
-
D.
typeOfValue
Indicates that one entity specifies the kind or category of value associated with another entity.
-
E.
typeOf
Indicates that one entity is a specific kind, class, or category instance of another more general entity.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622a48508190bbfedb762bd1674d |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:07 a.m.