Triple

T14475119
Position Surface form Disambiguated ID Type / Status
Subject Operation Piranha E358946 entity
Predicate civiliansDetained P6463 FINISHED
Object several hundred 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: several hundred | Statement: [Operation Piranha, civiliansDetained, several hundred]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: civiliansDetained
Context triple: [Operation Piranha, civiliansDetained, several hundred]
  • A. detainedPrisonersFrom
    Indicates that an authority is holding prisoners who originate from or are associated with a specified place or source.
  • B. detainedBy chosen
    Indicates that an entity is being held in custody or confinement by another entity, typically an authority or controlling party.
  • C. detainsUnder
    Indicates that one entity holds another in custody or confinement under a specific legal authority, provision, or condition.
  • D. detainedFor
    Indicates that one entity is being held in custody or confinement because of, or as a consequence of, another entity (such as a reason, charge, or event).
  • E. civilianDisplacement
    Indicates the forced or compelled movement of civilian populations from their homes or usual places of residence, typically due to conflict, violence, or persecution.
  • 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.