Triple

T10726748
Position Surface form Disambiguated ID Type / Status
Subject Chartres station E252967 entity
Predicate serves P98 FINISHED
Object city of Chartres E153197 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 Chartres | Statement: [Chartres station, serves, city of Chartres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Chartres
Context triple: [Chartres station, serves, city of Chartres]
  • A. Chartres
    Chartres is a small rural settlement located on West Falkland in the Falkland Islands.
  • B. Chartres chosen
    Chartres is a historic city in northern France renowned for its well-preserved medieval old town and its UNESCO-listed Gothic cathedral, famed for its stained glass windows.
  • C. city of Tours
    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.
  • D. Episcopal City of Albi
    The Episcopal City of Albi is a historic medieval ensemble in southern France, renowned for its imposing brick cathedral, episcopal palace, and well-preserved old town along the Tarn River.
  • E. Saintes
    Saintes is a historic town in southwestern France, known for its well-preserved Roman and medieval heritage, including ancient monuments and religious sites.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fc713f081909ba1d1b986c1fe5c completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de847e0ee48190a4c1470fc5296213 completed April 14, 2026, 6:16 p.m.
Created at: April 8, 2026, 9:14 p.m.