Triple

T22087452
Position Surface form Disambiguated ID Type / Status
Subject Runway 12L/30R E545818 entity
Predicate locatedIn P40 FINISHED
Object Mauguio 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: Mauguio | Statement: [Runway 12L/30R, locatedIn, Mauguio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mauguio
Context triple: [Runway 12L/30R, locatedIn, Mauguio]
  • A. Mauguio chosen
    Mauguio is a commune in southern France near Montpellier, known for its proximity to the Mediterranean coast and its role as a local economic and transport hub.
  • B. Mauges
    Mauges is a historical region in western France, known for its rural landscapes, traditional agriculture, and distinct cultural identity within the Maine-et-Loire department.
  • C. Montagnana
    Montagnana is a historic walled town in the Veneto region of northern Italy, renowned for its remarkably well-preserved medieval fortifications.
  • D. Miravalle
    Miravalle is a neighborhood located within the Benito Juárez borough of Mexico City, known for its residential character and urban amenities.
  • E. La Mongie
    La Mongie is a French Pyrenean ski resort village known as a gateway to the Pic du Midi de Bigorre and its observatory.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e2e3108190883199f272756e4e completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.