Triple

T22207243
Position Surface form Disambiguated ID Type / Status
Subject Runway 12R/30L E548844 entity
Predicate airportIATACode P418 FINISHED
Object MPL NE NERFINISHED

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: MPL | Statement: [Runway 12R/30L, airportIATACode, MPL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MPL
Context triple: [Runway 12R/30L, airportIATACode, MPL]
  • A. MPL chosen
    MPL is the IATA airport code for Montpellier-Méditerranée Airport, serving the city of Montpellier in southern France.
  • B. MPL
    MPL is the National Rail station code for Marple railway station in Greater Manchester, England.
  • C. MPL
    MPL (Mozilla Public License) is a free and open-source software license created by Mozilla that allows code to be shared and modified while requiring that changes to MPL-covered files remain publicly available.
  • D. MPL 85
    MPL 85 is a type of rubber-tyred, automated metro train used on Lyon’s Line D.
  • E. MPL 75
    MPL 75 is a type of rubber-tyred, automated metro train used on the Lyon Metro system in France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2936a481909aa84c7983ed49ee completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.