Triple

T6586736
Position Surface form Disambiguated ID Type / Status
Subject Thomas Worthington E159242 entity
Predicate placeOfActivity P1527 FINISHED
Object Douai E86459 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 | Statement: [Thomas Worthington, placeOfActivity, Douai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douai
Context triple: [Thomas Worthington, placeOfActivity, Douai]
  • A. Douai chosen
    Douai is a historic town in northern France known for its medieval belfry, former importance as a university and legal center, and role in the shifting Franco-Flemish borderlands.
  • B. Ouchy
    Ouchy is a picturesque lakeside district of Lausanne on the shores of Lake Geneva, known for its promenades, parks, and views of the Alps.
  • C. Douai, France
    Douai, France is a historic town in northern France known for its medieval belfry, legal and university traditions, and role as a regional administrative center.
  • D. Chatou
    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.
  • E. Loue
    The Loue is a river in eastern France, known for its scenic valleys and as a tributary of the Doubs in the Bourgogne-Franche-Comté region.
  • 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_69c688366ce8819083f8883983c0df92 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6aeafd2848190bb51e3ea9711c803 completed March 27, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d5794f388190a04f4f9c9e628f22 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:55 p.m.