Triple

T10004246
Position Surface form Disambiguated ID Type / Status
Subject NASAMS fire distribution center E198202 entity
Predicate partOf P40 FINISHED
Object NASAMS E198202 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: NASAMS | Statement: [NASAMS fire distribution center, partOf, NASAMS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NASAMS
Context triple: [NASAMS fire distribution center, partOf, NASAMS]
  • A. NSAS
    NSAS is the ICAO airport code assigned to Ofu Airport in American Samoa.
  • B. NASAMS fire distribution center chosen
    The NASAMS fire distribution center is the command-and-control node of the NASAMS air defense system, responsible for coordinating sensors and launchers to detect, track, and engage aerial threats.
  • C. NSA
    The NSA (National Security Agency) is a U.S. intelligence organization responsible for signals intelligence, cybersecurity, and protecting national communications and information systems.
  • D. NSM
    NSM was the stock ticker symbol for National Semiconductor, a former American semiconductor manufacturer known for its analog and mixed-signal integrated circuits.
  • E. NSM
    NSM is the commonly used abbreviation for the College of Natural Sciences and Mathematics, an academic division focused on education and research in scientific and mathematical disciplines.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd141ec08190b857fe7e15a8df93 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a5058a08190b850d30ca0ee8bc8 completed April 5, 2026, 1:57 p.m.
Created at: March 30, 2026, 8:51 p.m.