Triple
T28656302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bramford |
E725342
|
entity |
| Predicate | inspiredByRealWorldBuilding |
P104274
|
FINISHED |
| Object | The Dakota (New York City) |
—
|
NE NERFINISHED |
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: The Dakota (New York City) | Statement: [The Bramford, inspiredByRealWorldBuilding, The Dakota (New York City)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inspiredByRealWorldBuilding Context triple: [The Bramford, inspiredByRealWorldBuilding, The Dakota (New York City)]
-
A.
buildingInspired
chosen
Indicates that one building’s design, style, or concept was influenced or derived from another building.
-
B.
inspiredRealWorldAttraction
Indicates that one entity served as the creative basis or model for a real-world attraction associated with the other entity.
-
C.
inspiredByPlace
Indicates that something (such as a work, idea, or creation) originates from or is significantly influenced by a particular location or environment.
-
D.
fictionalBuilding
Indicates that a building is imaginary or exists only within a fictional or invented context.
-
E.
inspiredRealWorldImitations
Indicates that one entity served as the model or motivation for real-world copies, adaptations, or imitations of it.
- 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_69f01d84f5f0819087ab5e6143b14ed7 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6978fe97081908fe568091ad9b159 |
completed | May 3, 2026, 12:32 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
Created at: April 28, 2026, 4:55 a.m.