Triple
T28873318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wheelerville, New York |
E732192
|
entity |
| Predicate | inStateEntity |
P23956
|
FINISHED |
| Object | New York |
—
|
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: New York | Statement: [Wheelerville, New York, inStateEntity, New York]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inStateEntity Context triple: [Wheelerville, New York, inStateEntity, New York]
-
A.
inState
chosen
Indicates that an entity is currently located within or belongs to a particular state or condition.
-
B.
innerState
Indicates a relationship where an entity’s internal condition, feeling, or mental/emotional status is specified or characterized.
-
C.
inStateSince
Indicates that an entity has been in a particular state continuously starting from a specified point in time.
-
D.
principalState
Indicates that an entity serves as the primary or main state associated with another entity or context.
-
E.
associatedState
Indicates that one entity is linked or connected to a particular state, condition, or status of another 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65a4842588190835ef304e918d03a |
completed | May 2, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 7:34 a.m.