Triple
T5468463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brant Point Light |
E122771
|
entity |
| Predicate | yearFirstEstablished |
P4025
|
FINISHED |
| Object | 1746 |
—
|
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: 1746 | Statement: [Brant Point Light, yearFirstEstablished, 1746]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearFirstEstablished Context triple: [Brant Point Light, yearFirstEstablished, 1746]
-
A.
eraOfEstablishment
Indicates the time period or historical era during which an entity was founded or established.
-
B.
foundedInYearApprox
Indicates that an entity was established or came into existence around an approximate year, rather than on a precisely known date.
-
C.
foundedAt
chosen
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
-
D.
organizationTypeFounded
Indicates the type or category of organization that was established or created in a founding event.
-
E.
dateFoundedTeam
Indicates the calendar date on which a team was originally founded or established.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a370a88190b5d17b8a5387138d |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.