Triple

T21861290
Position Surface form Disambiguated ID Type / Status
Subject Fishhook region of Cambodia E539766 entity
Predicate roleDuringVietnamWar P108011 FINISHED
Object base area 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: base area | Statement: [Fishhook region of Cambodia, roleDuringVietnamWar, base area]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleDuringVietnamWar
Context triple: [Fishhook region of Cambodia, roleDuringVietnamWar, base area]
  • A. roleInWarOrConflict chosen
    Indicates the specific function, position, or involvement an entity has within a particular war or conflict.
  • B. roleInKoreanWar
    Indicates the specific function, position, or involvement an entity had during the Korean War.
  • C. militaryRole
    Indicates the specific function, position, or duty an entity holds within a military organization or context.
  • D. roleDuringBlackHawkWar
    Indicates the specific role, position, or function an entity held during the Black Hawk War.
  • E. positionOnVietnamWar
    Indicates a person or entity’s stance, opinion, or policy position regarding the Vietnam War.
  • 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d63ae3708190b7ee04c1487713c9 completed April 28, 2026, 3:46 p.m.
PD Predicate disambiguation batch_69e6be9394f88190945ddd1dc004d29d completed April 21, 2026, 12:02 a.m.
Created at: April 16, 2026, 6:56 p.m.