Triple

T6729487
Position Surface form Disambiguated ID Type / Status
Subject Saintonge E153597 entity
Predicate hasTownWithRomanRemains P65004 FINISHED
Object Saintes E630230 NE FINISHED

How this triple was built (3 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: Saintes | Statement: [Saintonge, hasTownWithRomanRemains, Saintes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saintes
Context triple: [Saintonge, hasTownWithRomanRemains, Saintes]
  • A. Saintes chosen
    Saintes is a historic town in southwestern France, known for its well-preserved Roman and medieval heritage, including ancient monuments and religious sites.
  • B. Angoulême
    Angoulême is a historic city in southwestern France known for its hilltop old town, medieval ramparts, and status as a major center of the French comics industry.
  • C. Bourges
    Bourges is a historic city in central France known for its well-preserved medieval architecture and its UNESCO-listed Gothic cathedral, Saint-Étienne.
  • D. Saumur
    Saumur is a historic town in western France renowned for its château, wine production, and cavalry school on the banks of the Loire River.
  • E. Niort
    Niort is a historic city in western France known as an administrative and economic center, particularly for its strong mutual insurance and financial services sector.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTownWithRomanRemains
Context triple: [Saintonge, hasTownWithRomanRemains, Saintes]
  • A. wasRomanTown
    Indicates that the subject entity functioned as a town or urban settlement during the period of the Roman Empire.
  • B. hasRomanMonument
    Indicates that one entity possesses, contains, or includes a monument of Roman origin or style.
  • C. nearbyRomanTown
    Indicates that one location is geographically close to a town that existed during the Roman period.
  • D. mainRomanSanctuary
    Indicates that one entity serves as the primary Roman religious sanctuary or temple associated with another entity.
  • E. hasArchaeologicalSitesFrom chosen
    Indicates that an entity contains or is associated with archaeological sites dating from a specified time period or era.
  • F. None of above.

Provenance (4 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_69c6880bdd68819097de8b6099992682 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d354177481908ab3cf5437c095e2 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8de86454081909232f45fa7d48976 completed March 29, 2026, 8:10 a.m.
PD Predicate disambiguation batch_69c6d08e8a2c8190ae4e8d8c039be7ce completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:09 p.m.