Triple

T11382444
Position Surface form Disambiguated ID Type / Status
Subject Western Theater of Military Operations E269629 entity
Predicate theaterDirection P99010 FINISHED
Object western direction 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: western direction | Statement: [Western Theater of Military Operations, theaterDirection, western direction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: theaterDirection
Context triple: [Western Theater of Military Operations, theaterDirection, western direction]
  • A. theaterFocus
    Indicates a relationship where an entity’s primary attention, activity, or specialization is centered on theater or theatrical performance.
  • B. theaterCommander
    Indicates that an entity serves as the commanding authority over military operations within a specific theater or area of operations.
  • C. theater
    Indicates that an entity is a theater or is functioning in the role of a theater (a venue where performances or films are shown).
  • D. theaterSector
    Indicates that an entity operates in, is associated with, or belongs to the theater-related sector or industry.
  • E. theatreOf
    Indicates that an event, action, or operation takes place within or is primarily associated with a particular theatre or venue.
  • F. None of above. chosen

Provenance (4 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d800160a1c81909d115bf89fe54a49 completed April 9, 2026, 7:37 p.m.
PD Predicate disambiguation batch_69d7e70b228c8190b87f5101fd683788 completed April 9, 2026, 5:51 p.m.
PDg Predicate description generation batch_69d80010712c819089ea2e31e664abe1 completed April 9, 2026, 7:37 p.m.
Created at: April 8, 2026, 9:34 p.m.