Triple
T21672096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Cape St. Vincent (1780) |
E534873
|
entity |
| Predicate | commandRank (George Brydges Rodney) |
P30999
|
FINISHED |
| Object | Admiral |
—
|
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: Admiral | Statement: [Battle of Cape St. Vincent (1780), commandRank (George Brydges Rodney), Admiral]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commandRank (George Brydges Rodney) Context triple: [Battle of Cape St. Vincent (1780), commandRank (George Brydges Rodney), Admiral]
-
A.
navalRankContext
Indicates the relationship between an entity and its naval rank within a specific organizational, temporal, or situational context.
-
B.
commandingOfficerRank
Indicates the military rank held by the officer who has command authority over a given individual or unit.
-
C.
hasCommanderRank
chosen
Indicates that an entity holds the military or organizational rank of commander within a specified hierarchy or context.
-
D.
commanderInChiefRank
Indicates that an entity holds the highest-ranking leadership position over a military or armed forces organization.
-
E.
fleetCommander (British)
Indicates that the subject serves as the fleet commander for the British naval forces.
- 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0cd7648190b9981393f0b2bee9 |
completed | April 27, 2026, 4:08 p.m. |
| PD | Predicate disambiguation | batch_69e6968abfdc81909cf9e0bd72db9eca |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:39 p.m.