Triple
T8466114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean de Brébeuf |
E200163
|
entity |
| Predicate | arrivalInNewFrance |
P26445
|
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: [Jean de Brébeuf, arrivalInNewFrance, 1625]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: arrivalInNewFrance Context triple: [Jean de Brébeuf, arrivalInNewFrance, 1625]
-
A.
yearOfArrivalInNewWorld
chosen
Indicates the specific year in which an entity arrived in the New World.
-
B.
firstPermanentFrenchSettlement
Indicates that one entity is the location where the other entity established the first enduring French settlement.
-
C.
firstSettlersArrived
Indicates that the earliest group of settlers reached or came to a particular place or region.
-
D.
firstPermanentFrenchSettlementFoundedInYear
Indicates the year in which the first permanent French settlement was founded in a given place.
-
E.
arrivalInEurope
Indicates the event or state of something or someone reaching or entering a location within Europe.
- 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_69ca83198c4c8190a337bf717d1813f5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d17ec8819093becdaec750aff5 |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
Created at: March 30, 2026, 6:11 p.m.