Triple

T3844565
Position Surface form Disambiguated ID Type / Status
Subject Saint-Martin-d’Étampes station E93536 entity
Predicate municipality P852 FINISHED
Object Étampes E442672 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: Étampes | Statement: [Saint-Martin-d’Étampes station, municipality, Étampes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Étampes
Context triple: [Saint-Martin-d’Étampes station, municipality, Étampes]
  • A. Étampes chosen
    Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
  • B. Bar-sur-Seine
    Bar-sur-Seine is a small commune in northeastern France known for its historic architecture and location within the Champagne-producing region of the Aube department.
  • C. Villeparisis
    Villeparisis is a suburban commune in the Île-de-France region of north-central France, located northeast of Paris in the Seine-et-Marne department.
  • D. Bougival
    Bougival is a picturesque commune along the Seine River in the western suburbs of Paris, long associated with Impressionist painters and riverside leisure.
  • E. Vaucresson
    Vaucresson is a suburban commune in the western outskirts of Paris, France, known for its residential character and green surroundings.
  • 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_69aed96ce578819084ab16e3439976c9 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeebb655c081909ec5ff3d09eb4778 completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c669cd6bb08190966b89a2129f5738 completed March 27, 2026, 11:28 a.m.
Created at: March 9, 2026, 3:18 p.m.