Triple
T19562906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marie Guyart |
E489499
|
entity |
| Predicate | yearArrivedInNewFrance |
P26445
|
FINISHED |
| Object | 1639 |
—
|
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: 1639 | Statement: [Marie Guyart, yearArrivedInNewFrance, 1639]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearArrivedInNewFrance Context triple: [Marie Guyart, yearArrivedInNewFrance, 1639]
-
A.
yearOfArrivalInNewWorld
chosen
Indicates the specific year in which an entity arrived in the New World.
-
B.
returnedToNewFranceYear
Indicates the year in which an entity went back to, or resettled in, New France.
-
C.
firstPermanentFrenchSettlementFoundedInYear
Indicates the year in which the first permanent French settlement was founded in a given place.
-
D.
firstPermanentFrenchSettlement
Indicates that one entity is the location where the other entity established the first enduring French settlement.
-
E.
firstSettlersArrived
Indicates that the earliest group of settlers reached or came to a particular place or region.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f74fdb08190852461b5d5c954ac |
completed | April 20, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69e514d4df3c8190b7e9b3b4fdf9452a |
completed | April 19, 2026, 5:45 p.m. |
Created at: April 10, 2026, 1:42 p.m.