Triple
T25979009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint-Christophe |
E646018
|
entity |
| Predicate | firstPermanentFrenchSettlementYear |
P33274
|
FINISHED |
| Object | 1625 |
—
|
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: 1625 | Statement: [Saint-Christophe, firstPermanentFrenchSettlementYear, 1625]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstPermanentFrenchSettlementYear Context triple: [Saint-Christophe, firstPermanentFrenchSettlementYear, 1625]
-
A.
firstPermanentFrenchSettlementFoundedInYear
chosen
Indicates the year in which the first permanent French settlement was founded in a given place.
-
B.
firstPermanentFrenchSettlement
Indicates that one entity is the location where the other entity established the first enduring French settlement.
-
C.
firstPermanentEuropeanSettlement
Indicates that the subject is the location of the earliest lasting European-established community in a given region or context.
-
D.
firstMajorColonyFoundationYear
Indicates the year in which an entity’s earliest or primary major colony was founded.
-
E.
colonyFounded
Indicates that an entity established or created a colony at a particular time or place.
- 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 22, 2026, 8:53 a.m.