Triple

T4480313
Position Surface form Disambiguated ID Type / Status
Subject Oudenarde E100113 entity
Predicate hasTwinning P919 FINISHED
Object Montereau-Fault-Yonne E343349 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: Montereau-Fault-Yonne | Statement: [Oudenarde, hasTwinning, Montereau-Fault-Yonne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montereau-Fault-Yonne
Context triple: [Oudenarde, hasTwinning, Montereau-Fault-Yonne]
  • A. Montereau-Fault-Yonne chosen
    Montereau-Fault-Yonne is a commune in north-central France where the Yonne River meets the Seine, historically noted as a strategic river junction and site of significant battles.
  • B. Morsang-sur-Seine
    Morsang-sur-Seine is a small commune in the Essonne department in northern France, situated along the Seine River and within the southern suburbs of Paris.
  • C. Grigny
    Grigny is a suburban commune in the southern outskirts of Paris, France, known for its large housing estates and diverse population.
  • D. Dourdan
    Dourdan is a commune in the Essonne department in the southern suburbs of Paris, France, known for its historic medieval castle and role as a terminus on the RER C suburban rail line.
  • E. Champs-sur-Marne
    Champs-sur-Marne is a suburban commune in the eastern outskirts of Paris, France, known for its historic château and role as a hub for higher education and research institutions.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356dcaba88190ae2d64c038450ca6 completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69c7bf5fcf588190bcd52c539c3958b0 completed March 28, 2026, 11:45 a.m.
Created at: March 12, 2026, 11:36 p.m.