Triple

T8496847
Position Surface form Disambiguated ID Type / Status
Subject BSF E201119 entity
Predicate hasComponent P35 FINISHED
Object BSF Air Wing E201122 NE 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: BSF Air Wing | Statement: [BSF, hasComponent, BSF Air Wing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BSF Air Wing
Context triple: [BSF, hasComponent, BSF Air Wing]
  • A. BSF Air Wing chosen
    BSF Air Wing is the aviation branch of India’s Border Security Force that operates aircraft and helicopters for border surveillance, logistics, and support missions.
  • B. Air Control Wing
    The Air Control Wing is a specialized unit of the Royal Danish Air Force responsible for airspace surveillance, command and control, and coordination of air operations.
  • C. Air Wing
    Air Wing is the aviation division of the Massachusetts State Police that provides aerial support for law enforcement, search and rescue, and public safety operations.
  • D. Air Wing
    Air Wing is the aviation division of the Dubai Police responsible for aerial patrols, surveillance, search and rescue, and rapid response operations using helicopters and other aircraft.
  • E. Air Transport Wing 63
    Air Transport Wing 63 was a German Air Force airlift unit responsible for tactical and logistical transport missions, including humanitarian and international operations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca831ee390819095fae73400bbfafc completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe57f8c508190b3a93ef180db9873 completed March 31, 2026, 3:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e01e65481908b868d1810a83e0e completed April 2, 2026, 11:07 a.m.
Created at: March 30, 2026, 6:13 p.m.