Triple
T35665930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | familiarity with New York City geography |
E1030561
|
entity |
| Predicate | canBeAcquiredThrough |
P25436
|
FINISHED |
| Object | living in New York City |
—
|
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: living in New York City | Statement: [familiarity with New York City geography, canBeAcquiredThrough, living in New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeAcquiredThrough Context triple: [familiarity with New York City geography, canBeAcquiredThrough, living in New York City]
-
A.
canBeObtainedFrom
chosen
Indicates that one entity is derivable, producible, or acquirable from another entity as a source or origin.
-
B.
couldBeAcquiredBy
Indicates that one entity is a potential target to be obtained, bought, or taken over by another entity.
-
C.
canBePurchasedWith
Indicates that one entity is able to be bought or acquired using another entity as the form of payment.
-
D.
canBePurchased
Indicates that one entity is available to be bought or acquired in exchange for payment by another entity.
-
E.
acquisitionType
Indicates the specific kind or category of acquisition relationship that exists between entities (such as a company buying another company, assets, or a controlling stake).
- 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_69f76e09f87881909c954aaac176c34f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fedd5a5f4c8190acce88db56303703 |
completed | May 9, 2026, 7:08 a.m. |
| PD | Predicate disambiguation | batch_69fed910b31c8190ae837163d146738d |
completed | May 9, 2026, 6:49 a.m. |
Created at: May 3, 2026, 4:05 p.m.