Triple
T22940896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Pleiku |
E569724
|
entity |
| Predicate | aircraftDestroyedOrDamaged |
P28346
|
FINISHED |
| Object | more than 20 U.S. aircraft |
—
|
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: more than 20 U.S. aircraft | Statement: [Battle of Pleiku, aircraftDestroyedOrDamaged, more than 20 U.S. aircraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftDestroyedOrDamaged Context triple: [Battle of Pleiku, aircraftDestroyedOrDamaged, more than 20 U.S. aircraft]
-
A.
aircraftLosses
chosen
Indicates the number or occurrence of aircraft that have been destroyed, damaged beyond repair, or otherwise lost.
-
B.
aircraftLossType
Indicates the manner or category of how an aircraft was lost, such as through damage, destruction, disappearance, or other loss circumstances.
-
C.
aircraftDestroyedUS
Indicates that a U.S. aircraft has been destroyed.
-
D.
aircraftDamagedUS
Indicates that a U.S. aircraft has been damaged, typically as a result of a specific event or action.
-
E.
fleetDestroyedBy
Indicates that a fleet was destroyed as a direct result of actions taken by another specified entity.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f181394fec81909da791bb346dbd0a |
completed | April 29, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_69ef3b882e708190b0eb0c87021c75b8 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:45 p.m.