Triple
T1299675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tribune Building, New York City |
E27732
|
entity |
| Predicate | wasAmong |
P26764
|
FINISHED |
| Object | tallest buildings in New York City at time of completion |
—
|
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: tallest buildings in New York City at time of completion | Statement: [Tribune Building, New York City, wasAmong, tallest buildings in New York City at time of completion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasAmong Context triple: [Tribune Building, New York City, wasAmong, tallest buildings in New York City at time of completion]
-
A.
wasA
Indicates that an entity previously had a certain role, type, or classification in the past.
-
B.
wereInternedBy
Indicates that an entity was forcibly confined, detained, or held in an internment facility by another entity (typically an authority or government).
-
C.
crowdWas
Indicates that a crowd possessed or exhibited a particular state, quality, or condition.
-
D.
hadMember
Indicates that an entity was formerly a member or part of another entity or group.
-
E.
coexistedWith
Indicates that two entities existed at the same time and in the same context or environment, without implying any specific type of interaction between them.
- F. None of above. chosen
Provenance (4 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c11314a48190ab4efb8b1acdce50 |
completed | March 1, 2026, 10:43 p.m. |
| PD | Predicate disambiguation | batch_69a4bee8544c8190874efd9bae9bccf9 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf60545c8190901ccfb2cb7c4b41 |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:51 p.m.