Triple
T4842955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of New York |
E108219
|
entity |
| Predicate | historicallyOwned |
P59297
|
FINISHED |
| Object | New York City waterfront piers |
—
|
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: New York City waterfront piers | Statement: [City of New York, historicallyOwned, New York City waterfront piers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicallyOwned Context triple: [City of New York, historicallyOwned, New York City waterfront piers]
-
A.
historicallyBorneBy
Indicates that an entity has carried, possessed, or used another entity (such as a name, title, or symbol) at some point in the past.
-
B.
ownershipHistory
Indicates the sequence of past and present owners associated with an entity over time.
-
C.
previouslyPossessedBy
chosen
Indicates that an entity was owned or possessed by another entity at some time in the past, but is not necessarily possessed by that entity now.
-
D.
historicallyAdoptedBy
Indicates that something (such as a practice, policy, idea, or object) was used or taken up by an entity at some point in the past.
-
E.
historicallyHoused
Indicates that one entity served as a location or container for another entity at some time in the past.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.