Triple
T17011844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant Governor of New Jersey |
E412718
|
entity |
| Predicate | officeEstablishedInYear |
P52731
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Lieutenant Governor of New Jersey, officeEstablishedInYear, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEstablishedInYear Context triple: [Lieutenant Governor of New Jersey, officeEstablishedInYear, 2010]
-
A.
officeEstablishedIn
chosen
Indicates that an office or official position was created or formally established in a specific time or place.
-
B.
officeReestablishedYear
Indicates the year in which an office or official position was reestablished after having been previously discontinued or abolished.
-
C.
officeEstablishedWith
Indicates that an office or formal workplace was created or set up through the involvement, authorization, or collaboration of the associated entity or entities.
-
D.
officeEstablishedAs
Indicates that an office or official position was created, founded, or formally instituted as a particular role or entity.
-
E.
placeEstablished
Indicates that an entity was founded, created, or formally established at a particular place or location.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47cc17c819087f7bd27582bcbfa |
completed | April 18, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e35d5be7f48190af9db67a1e23850f |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.