Triple
T15503438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French West Indies fleet |
E379018
|
entity |
| Predicate | roleInBattleOfTheChesapeake |
P118905
|
FINISHED |
| Object | defeated the British fleet |
—
|
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: defeated the British fleet | Statement: [French West Indies fleet, roleInBattleOfTheChesapeake, defeated the British fleet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInBattleOfTheChesapeake Context triple: [French West Indies fleet, roleInBattleOfTheChesapeake, defeated the British fleet]
-
A.
roleInFirstFleet
Indicates that an entity held a specific role or position within the First Fleet.
-
B.
roleAtBattleOfChancellorsville
Indicates the specific role, position, or function an entity held during the Battle of Chancellorsville.
-
C.
roleInBattleOfSalamis
Indicates the specific role or involvement an entity had in the Battle of Salamis.
-
D.
roleInBattleOfFlamboroughHead
Indicates the specific role or involvement an entity had in the Battle of Flamborough Head.
-
E.
roleInAmericanRevolution
Indicates that an entity had a specific role, position, or involvement in events or activities related to the American Revolution.
- F. None of above. chosen
Provenance (4 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fcc5bb88190b8a9a81419a9a38b |
completed | April 16, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded57165288190979b7acb71ad5145 |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:54 a.m.