Triple
T5990980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kent Island |
E133347
|
entity |
| Predicate | foundedAsEnglishSettlement |
P1826
|
FINISHED |
| Object | 1631 |
—
|
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: 1631 | Statement: [Kent Island, foundedAsEnglishSettlement, 1631]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsEnglishSettlement Context triple: [Kent Island, foundedAsEnglishSettlement, 1631]
-
A.
foundedAsColonyFor
Indicates that one entity was established as a colony specifically for the benefit, use, or purposes of another entity.
-
B.
wasFirstPermanentEuropeanSettlementInAmericasFor
Indicates that one entity served as the first permanent European settlement in the Americas for another specified entity (such as a country, region, or group).
-
C.
oneOfEarliestEnglishSettlementsIn
chosen
Indicates that the subject is among the earliest English settlements located in the specified place.
-
D.
firstPermanentEuropeanSettlement
Indicates that the subject is the location of the earliest lasting European-established community in a given region or context.
-
E.
firstEuropeanSettlementOn
Indicates that one entity is the first European-established settlement located on the specified place or territory.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc8ab648190beb1bc141796894e |
completed | March 22, 2026, 8:15 p.m. |
| PD | Predicate disambiguation | batch_69c049e152e88190979ab80cb9b50321 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:05 p.m.