Triple

T12959386
Position Surface form Disambiguated ID Type / Status
Subject Tours station E310098 entity
Predicate serves P98 FINISHED
Object city of Tours E560431 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: city of Tours | Statement: [Tours station, serves, city of Tours]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Tours
Context triple: [Tours station, serves, city of Tours]
  • A. city of Tours chosen
    The city of Tours is a historic city in central France, known for its medieval old town, role as a gateway to the Loire Valley châteaux, and rich cultural heritage.
  • B. Poitiers
    Poitiers is a historic city in western France known for its Romanesque architecture, medieval heritage, and role as a regional center in the Nouvelle-Aquitaine region.
  • C. city of Orléans
    The city of Orléans is a historic French city on the Loire River, best known for its association with Joan of Arc and its role in the Hundred Years’ War.
  • D. Troyes
    Troyes is a historic city in northeastern France, known for its well-preserved medieval old town, half-timbered houses, and Gothic churches.
  • E. Bourges
    Bourges is a historic city in central France known for its well-preserved medieval architecture and its UNESCO-listed Gothic cathedral, Saint-Étienne.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2e44908190bb8b43fc5c3b8a8a completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8e006cc819091e5f4b044cadea4 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 5:44 p.m.