Triple

T16818705
Position Surface form Disambiguated ID Type / Status
Subject Colombier-Saugnieu E408822 entity
Predicate airportICAOcode P419 FINISHED
Object LFLL E408821 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: LFLL | Statement: [Colombier-Saugnieu, airportICAOcode, LFLL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LFLL
Context triple: [Colombier-Saugnieu, airportICAOcode, LFLL]
  • A. LFLL chosen
    LFLL is the ICAO airport code for Lyon–Saint-Exupéry Airport, a major international airport serving the city of Lyon in France.
  • B. LF
    LF is the commonly used abbreviation for the Linux Foundation, a nonprofit organization that supports and promotes the development of the Linux kernel and other open-source software projects.
  • C. LF
    LF is a German vehicle registration code assigned to the Traunstein district in the state of Bavaria.
  • D. LFRL
    LFRL is the ICAO airport code for the French naval air base at Lanvéoc-Poulmic in Brittany.
  • E. LLFPA
    LLFPA is a U.S. federal law that strengthens workers’ ability to challenge pay discrimination by resetting the statute of limitations with each discriminatory paycheck.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e476d48190bff097055cc353dc completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2a08ac8819098e7094ee5ce4ed5 completed May 10, 2026, 5:38 p.m.
Created at: April 10, 2026, 5:23 a.m.