Triple

T8496848
Position Surface form Disambiguated ID Type / Status
Subject BSF E201119 entity
Predicate hasComponent P35 FINISHED
Object BSF Water Wing E201123 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 Water Wing | Statement: [BSF, hasComponent, BSF Water Wing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BSF Water Wing
Context triple: [BSF, hasComponent, BSF Water Wing]
  • A. BSF Water Wing chosen
    BSF Water Wing is the marine component of India’s Border Security Force responsible for patrolling and securing the country’s riverine and coastal borders.
  • B. VT Halter Marine
    VT Halter Marine is an American shipbuilding company known for constructing commercial and government vessels, including research and survey ships.
  • C. HH-52 Seaguard
    The HH-52 Seaguard is an amphibious search-and-rescue helicopter used extensively by the U.S. Coast Guard from the 1960s through the 1980s.
  • D. FV101 Scorpion
    The FV101 Scorpion is a British light reconnaissance tank and combat vehicle known for its high speed, aluminum armor, and use as part of the CVR(T) family during the Cold War.
  • E. Canadair CL-215
    The Canadair CL-215 is a twin-engine amphibious water bomber aircraft designed primarily for aerial firefighting and widely used around the world for combating wildfires.
  • 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.