Triple

T8706043
Position Surface form Disambiguated ID Type / Status
Subject Alfred Sisley E206651 entity
Predicate livedIn P75 FINISHED
Object Louveciennes E314672 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: Louveciennes | Statement: [Alfred Sisley, livedIn, Louveciennes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louveciennes
Context triple: [Alfred Sisley, livedIn, Louveciennes]
  • A. Louveciennes chosen
    Louveciennes is a picturesque commune in north-central France, noted for its scenic landscapes that attracted Impressionist painters such as Camille Pissarro.
  • B. Étampes
    Étampes is a historic commune and former royal town in northern France, located in the Essonne department in the Île-de-France region.
  • C. Draveil
    Draveil is a suburban commune in the southern Île-de-France region of France, located near Paris along the Seine River.
  • D. 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.
  • E. Étrépilly
    Étrépilly is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58fcac748190a82b57aeb7c43df9 completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d98801deb8819092a45193078f09b4 completed April 10, 2026, 11:30 p.m.
Created at: March 30, 2026, 6:35 p.m.