Triple

T7167660
Position Surface form Disambiguated ID Type / Status
Subject arrondissement of Nanterre E167111 entity
Predicate containsAdministrativeTerritorialEntity P747 FINISHED
Object Chatou E227647 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: Chatou | Statement: [arrondissement of Nanterre, containsAdministrativeTerritorialEntity, Chatou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chatou
Context triple: [arrondissement of Nanterre, containsAdministrativeTerritorialEntity, Chatou]
  • A. Chatou chosen
    Chatou is a suburban commune in north-central France, located along the Seine River to the west of Paris and known for its Impressionist art heritage.
  • B. Noailles
    Noailles is a renowned art district in Croix-des-Bouquets, Haiti, famous for its vibrant community of metal sculptors and artisans.
  • C. Auteuil
    Auteuil is a residential neighborhood in western Paris known for its village-like atmosphere, Art Nouveau architecture, and historic literary and artistic associations.
  • D. Bourgueil
    Bourgueil is a Loire Valley wine appellation in France renowned for its red wines, particularly those made predominantly from Cabernet Franc.
  • E. Trappes
    Trappes is a suburban commune in north-central France, located in the Yvelines department within the Île-de-France region near Paris.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e85b4410819098c6531229da51d4 completed March 27, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b901cb608190acd25c22b38a1957 completed March 28, 2026, 11:18 a.m.
Created at: March 27, 2026, 2:48 p.m.