Triple

T18350163
Position Surface form Disambiguated ID Type / Status
Subject Muret – Lherm Aerodrome E439644 entity
Predicate locatedNear P294 FINISHED
Object Lherm 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: Lherm | Statement: [Muret – Lherm Aerodrome, locatedNear, Lherm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lherm
Context triple: [Muret – Lherm Aerodrome, locatedNear, Lherm]
  • A. Lherm chosen
    Lherm is a small commune in southwestern France, located in the Haute-Garonne department near the city of Toulouse.
  • B. Montagnieu
    Montagnieu is a commune in the Ain department of eastern France, situated within the historic wine-producing area of Bugey.
  • C. Mourtemeno
    Mourtemeno is a small Greek island located off the coast of Syvota in the Ionian Sea, known for its clear waters and scenic coves.
  • D. Lemerig
    Lemerig is an endangered Oceanic language spoken by a small community on the island of Vanua Lava in northern Vanuatu.
  • E. Gressy
    Gressy is a small French commune located in the Île-de-France region, known for its residential character and proximity to Paris and Charles de Gaulle Airport.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f7700c8190ae220de870e69304 completed April 19, 2026, 5:46 p.m.
Created at: April 10, 2026, 10:37 a.m.