Triple
T14475118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation Piranha |
E358946
|
entity |
| Predicate | casualtiesAndLosses_VietCongCaptured |
P76310
|
FINISHED |
| Object | over 100 |
—
|
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: over 100 | Statement: [Operation Piranha, casualtiesAndLosses_VietCongCaptured, over 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: casualtiesAndLosses_VietCongCaptured Context triple: [Operation Piranha, casualtiesAndLosses_VietCongCaptured, over 100]
-
A.
estimatedNorthVietnameseCasualties
Indicates the reported or calculated number of casualties attributed to North Vietnamese forces in a given context or event.
-
B.
casualtiesAmericanCapturedApprox
Indicates that the approximate number of American individuals who were captured in an event or conflict is being specified.
-
C.
opponentInBattleOfIaDrang
Indicates that one entity served as an opposing force to another in the Battle of Ia Drang.
-
D.
confederatePrisonersTaken
Indicates that one party has captured and taken prisoners who are affiliated with or fighting for the Confederate side.
-
E.
captivesTaken
chosen
Indicates that one entity has taken another entity or group into captivity, holding them against their will.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91fc1fc48190842b09aa03ba79f8 |
completed | April 14, 2026, 7:14 p.m. |
| PD | Predicate disambiguation | batch_69de5c42bd3c81909a62acf30cc24d1e |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.