Triple

T20394795
Position Surface form Disambiguated ID Type / Status
Subject Nantes Atlantique Airport E500172 entity
Predicate hasCode P9567 FINISHED
Object NTE 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: NTE | Statement: [Nantes Atlantique Airport, hasCode, NTE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NTE
Context triple: [Nantes Atlantique Airport, hasCode, NTE]
  • A. NTE chosen
    NTE is the IATA airport code for Nantes Atlantique Airport, the main international airport serving the city of Nantes in western France.
  • B. NGTE
    NGTE is the ICAO airport code for Tabiteuea Airport, a regional airfield serving Tabiteuea in Kiribati.
  • C. NTTA
    NTTA is the regional agency responsible for planning, building, operating, and maintaining toll roads and related transportation infrastructure in the North Texas area.
  • D. EETN
    EETN is the ICAO airport code for Lennart Meri Tallinn Airport, the main international airport serving Tallinn, Estonia.
  • E. NT1
    NT1 is the former name of TFX, a company that has since rebranded under its current title.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e679122058819083e3615a5ea0a82e completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.