Triple
T26601797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle off Fort Nelson |
E667654
|
entity |
| Predicate | commandingOfficerFrench |
P19844
|
FINISHED |
| Object | Pierre Le Moyne d'Iberville |
—
|
NE NERFINISHED |
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: Pierre Le Moyne d'Iberville | Statement: [Battle off Fort Nelson, commandingOfficerFrench, Pierre Le Moyne d'Iberville]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandingOfficerFrench Context triple: [Battle off Fort Nelson, commandingOfficerFrench, Pierre Le Moyne d'Iberville]
-
A.
fleetCommander (French)
Indicates that one entity serves as the commanding officer in charge of a fleet associated with another entity.
-
B.
FrenchCommander
chosen
Indicates that an entity serves as a military commander associated with France.
-
C.
frenchCommanderTitle
Indicates that the subject holds or is referred to by a military or naval command rank or title within a French context.
-
D.
flagOfficer
Indicates that an individual holds a senior military rank entitled to display a personal flag (e.g., admiral or general).
-
E.
wasCommandantOf
Indicates that one entity served as the commandant (chief commanding officer) of another entity, typically a military unit, institution, or facility.
- 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_69ee9cfd20348190bb1255d2603efb7a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f66598d6008190a7ca8ff80399fd34 |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 2:12 a.m.