Triple
T23654248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Jersey State Normal School |
E584249
|
entity |
| Predicate | successorLocatedIn |
P90999
|
FINISHED |
| Object | Ewing, New Jersey |
—
|
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: Ewing, New Jersey | Statement: [New Jersey State Normal School, successorLocatedIn, Ewing, New Jersey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorLocatedIn Context triple: [New Jersey State Normal School, successorLocatedIn, Ewing, New Jersey]
-
A.
successorLocation
Indicates that one location directly follows or comes after another in a defined spatial or ordered sequence.
-
B.
successorInRegion
chosen
Indicates that one entity directly follows or replaces another within a specified region or jurisdiction.
-
C.
successorInCity
Indicates that one entity directly follows or replaces another in holding a particular role, position, or function within the same city.
-
D.
successorDeterminedBy
Indicates that the identity of a successor is established or chosen according to a specified rule, process, or determining factor.
-
E.
successorUsedIn
Indicates that a successor entity is utilized or referenced within the context, operation, or implementation 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_69e248ffc0888190ae23c4731eb8b7ac |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b35a513c8190a251fe2f55b23d7c |
completed | April 29, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:49 p.m.