Triple

T14071276
Position Surface form Disambiguated ID Type / Status
Subject Operation Hastings E338611 entity
Predicate casualtiesUSandARVN P823 FINISHED
Object approximately 126 killed 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: approximately 126 killed | Statement: [Operation Hastings, casualtiesUSandARVN, approximately 126 killed]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: casualtiesUSandARVN
Context triple: [Operation Hastings, casualtiesUSandARVN, approximately 126 killed]
  • A. estimatedNorthVietnameseCasualties
    Indicates the reported or calculated number of casualties attributed to North Vietnamese forces in a given context or event.
  • B. casualtiesUnitedStates
    Indicates that the event or situation resulted in casualties (deaths and/or injuries) among United States personnel or citizens.
  • C. UScasualties
    Indicates the number or occurrence of casualties suffered by the United States in a given conflict, event, or situation.
  • D. casualtiesKilledUS chosen
    Indicates that the relationship specifies the number of U.S. individuals who were killed as casualties in an event or incident.
  • E. nativeCasualties
    Indicates that native or indigenous people suffered deaths or injuries as a result of a particular event, action, or conflict.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5aa828819098ef55a70a0decbc completed April 14, 2026, 3:25 p.m.
PD Predicate disambiguation batch_69de05adef888190b023ab42ef5076b6 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:21 p.m.