Triple

T12939861
Position Surface form Disambiguated ID Type / Status
Subject LPMA E309608 entity
Predicate hasICAOCode P419 FINISHED
Object LPMA E309608 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: LPMA | Statement: [LPMA, hasICAOCode, LPMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LPMA
Context triple: [LPMA, hasICAOCode, LPMA]
  • A. LPMA chosen
    LPMA is the ICAO airport code for Cristiano Ronaldo Madeira International Airport, the main commercial airport serving the Portuguese island of Madeira.
  • B. LPAC
    LPAC is a regional performing arts venue in Lancaster, California, hosting a wide range of live theater, music, dance, and community events.
  • C. LMA
    LMA is the League Managers Association, the professional body representing and supporting football managers in English leagues.
  • D. LMA
    LMA is a comprehensive system for observing, describing, and interpreting human movement developed from the work of choreographer and movement theorist Rudolf Laban.
  • E. FLPMA
    FLPMA is a 1976 U.S. federal law that governs the management and conservation of public lands administered by the Bureau of Land Management.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dca2ee88190b45fafe7d53c35c9 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af70f45c8190a40250da4a787d8f completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:43 p.m.