Triple
T2585225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-François de La Clue-Sabran |
E57182
|
entity |
| Predicate | resultOfBattleOfLagos |
P19109
|
FINISHED |
| Object | French fleet largely destroyed or captured |
—
|
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: French fleet largely destroyed or captured | Statement: [Jean-François de La Clue-Sabran, resultOfBattleOfLagos, French fleet largely destroyed or captured]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resultOfBattleOfLagos Context triple: [Jean-François de La Clue-Sabran, resultOfBattleOfLagos, French fleet largely destroyed or captured]
-
A.
resultOfBattle
chosen
Indicates that one entity is the outcome or consequence produced by a specific battle or combat event involving another entity.
-
B.
placeOfMainEngagement
Indicates the primary location where an entity carries out its main activities, operations, or engagements.
-
C.
battleOccurredNear
Indicates that a battle took place in spatial proximity to a specified location or entity.
-
D.
battleOccurredOn
Indicates that a specific battle took place at or on a particular location or date.
-
E.
battleOccurred
Indicates that a conflict or combat event took place between specified parties at a particular time and/or location.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3cd07588190b3cb8cc348f12938 |
completed | March 7, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69abd0d19308819089ee942513d567a4 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:49 p.m.