Triple

T2319225
Position Surface form Disambiguated ID Type / Status
Subject Fronsac E51137 entity
Predicate proximityToCity P36605 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: [Fronsac, proximityToCity, Bordeaux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bordeaux
Context triple: [Fronsac, proximityToCity, 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: proximityToCity
Context triple: [Fronsac, proximityToCity, Bordeaux]
  • A. passesNearCity
    Indicates that the path, route, or trajectory of one entity goes close to, but not necessarily through, a specified city.
  • B. nearbyUrbanCenter chosen
    Indicates that one location is geographically close to an urban center, such as a city or large town.
  • C. distanceFromDowntown
    Indicates the physical distance between a given location and the central downtown area.
  • D. isInCountySeatProximity
    Indicates that one location lies within a defined close distance to the county seat of a given county.
  • E. nearByCityState
    Indicates that a city is geographically close to or within the same general area as a specified state.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc685f05481909c863b29d1f6bacd completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe87925a48190a7a5bd65d9a24c8b completed March 10, 2026, 9:46 a.m.
PD Predicate disambiguation batch_69abc5909cc48190aab257313542dc49 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:49 p.m.