Triple

T10823012
Position Surface form Disambiguated ID Type / Status
Subject R-5 E255421 entity
Predicate category P87 FINISHED
Object Sikorsky helicopters E775286 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: Sikorsky helicopters | Statement: [R-5, category, Sikorsky helicopters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sikorsky helicopters
Context triple: [R-5, category, Sikorsky helicopters]
  • A. Bell Helicopter
    Bell Helicopter is an American aerospace manufacturer best known for its development of iconic military and civilian helicopters, including the widely used UH-1 "Huey."
  • B. Sikorsky S-70 family chosen
    The Sikorsky S-70 family is a series of medium-lift, multi-role military and civilian helicopters developed by Sikorsky Aircraft and used worldwide for transport, utility, and specialized missions.
  • C. Sikorsky Z
    Sikorsky Z is a small lunar satellite crater located near the larger Sikorsky crater on the far side of the Moon.
  • D. Sikorsky V
    Sikorsky V is a designated satellite crater on the Moon associated with the larger Sikorsky impact crater.
  • E. Sikorsky Q
    Sikorsky Q is a designated satellite crater on the Moon associated with the larger lunar impact feature Sikorsky.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7344c551c8190a7491d468b8a4a04 completed April 9, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7c45f288190a5235b5d7000a32c completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:19 p.m.