Triple

T17248986
Position Surface form Disambiguated ID Type / Status
Subject Belfry of Douai E418698 entity
Predicate locatedNear P294 FINISHED
Object Douai town hall E1258656 NE FINISHED

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: Douai town hall | Statement: [Belfry of Douai, locatedNear, Douai town hall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douai town hall
Context triple: [Belfry of Douai, locatedNear, Douai town hall]
  • A. Douai subprefecture building chosen
    The Douai subprefecture building is an administrative headquarters in the city of Douai that houses the local state representation and services for the surrounding arrondissement in northern France.
  • B. Douai courthouse
    The Douai courthouse is a prominent judicial building in Douai, France, serving as a key center for regional legal and appellate proceedings.
  • C. Dijon city hall
    Dijon city hall is the municipal government building of Dijon, France, housed within the historic Palace of the Dukes of Burgundy.
  • D. Cuiseaux town hall
    Cuiseaux town hall is the main administrative building of the commune of Cuiseaux in France, housing local government offices and public services.
  • E. Nanterre town hall
    Nanterre town hall is the main municipal building and administrative center of the city of Nanterre in the western suburbs of Paris, France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e2636f48190b29548ff80402bef completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01794102348190ba5906c011fd014b completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:39 a.m.