Triple

T2180868
Position Surface form Disambiguated ID Type / Status
Subject Médoc E49037 entity
Predicate mainCityNearby P1982 FINISHED
Object Bordeaux E6982 NE FINISHED

How this triple was built (3 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: Bordeaux | Statement: [Médoc, mainCityNearby, Bordeaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bordeaux
Context triple: [Médoc, mainCityNearby, Bordeaux]
  • A. Bordeaux chosen
    Bordeaux is a renowned wine-producing region in southwestern France, famous for its prestigious red blends and long winemaking tradition.
  • B. Nantes
    Nantes is a historic port city in western France on the Loire River, known for its maritime heritage, cultural institutions, and vibrant arts scene.
  • C. Toulouse
    Toulouse is a major city in southwestern France known for its aerospace industry, historic pink-brick architecture, and vibrant university and cultural life.
  • D. Cahors
    Cahors is a historic town in southwestern France renowned for its medieval architecture, including the fortified Valentré Bridge, and its surrounding Malbec wine-producing vineyards.
  • E. Dijon
    Dijon is a historic city in eastern France renowned for its rich architectural heritage, former status as the capital of the Duchy of Burgundy, and its famous mustard.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mainCityNearby
Context triple: [Médoc, mainCityNearby, Bordeaux]
  • A. nearestMajorCity chosen
    Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
  • B. countryCapitalNearby
    Indicates that a country’s capital city is geographically close to a specified location or entity.
  • C. nearByCityState
    Indicates that a city is geographically close to or within the same general area as a specified state.
  • D. city2
    Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
  • E. administrativeCentreNearby
    Indicates that an administrative centre is located close to the referenced entity in geographic or spatial terms.
  • F. None of above.

Provenance (4 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc4358fc88190a6f556c2de9fef8c completed March 7, 2026, 6:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69af9050216c8190b4e4af7cc4c9bb42 completed March 10, 2026, 3:30 a.m.
PD Predicate disambiguation batch_69abbda0ec948190be88c1243d81a423 completed March 7, 2026, 5:54 a.m.
Created at: March 4, 2026, 7:45 p.m.