Triple
T16326643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USS Concord |
E396435
|
entity |
| Predicate | victoryInvolved |
P4779
|
FINISHED |
| Object | American victory at the Battle of Manila Bay |
—
|
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: American victory at the Battle of Manila Bay | Statement: [USS Concord, victoryInvolved, American victory at the Battle of Manila Bay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victoryInvolved Context triple: [USS Concord, victoryInvolved, American victory at the Battle of Manila Bay]
-
A.
victoryIn
chosen
Indicates that one entity achieves a win or success in a specific contest, event, or competitive context involving another entity.
-
B.
victoriousSide
Indicates which participant or group emerged as the winner in a competitive or conflict situation.
-
C.
battleInvolvedIn
Indicates that an entity participated as a combatant or directly took part in a specific battle or military engagement.
-
D.
typeOfVictory
Indicates the specific manner or category in which a victory was achieved.
-
E.
victoryLocation
Indicates the place or setting where a victory or triumph occurs.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296bab8b48190b373b4efbd6f0d8c |
completed | April 17, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.