Triple

T13172551
Position Surface form Disambiguated ID Type / Status
Subject Stephen of Blois E313013 entity
Predicate placeOfBirth P1 FINISHED
Object Blois E101372 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: Blois | Statement: [Stephen of Blois, placeOfBirth, Blois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blois
Context triple: [Stephen of Blois, placeOfBirth, Blois]
  • A. Blois chosen
    Blois is a historic city in central France known for its Renaissance château, picturesque setting on the Loire River, and rich royal heritage.
  • B. Bourges
    Bourges is a historic city in central France known for its well-preserved medieval architecture and its UNESCO-listed Gothic cathedral, Saint-Étienne.
  • C. Melun
    Melun is a historic commune in the Île-de-France region of north-central France, known as a regional administrative center and former royal town southeast of Paris.
  • D. Pithiviers
    Pithiviers is a small town in north-central France known for its historical architecture and traditional French pastries.
  • E. La Châtre
    La Châtre is a small historic town in central France known for its picturesque medieval streets and its association with the writer George Sand.
  • 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_69d806ac3ee081909b2fd27d060aa974 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c2f22b881908a0af3af0a0af971 completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef5a0824819097e41163e3092b68 completed May 9, 2026, 8:24 a.m.
Created at: April 9, 2026, 9:13 p.m.