Triple

T9488297
Position Surface form Disambiguated ID Type / Status
Subject Fresnes E228817 entity
Predicate nearbyCity P350 FINISHED
Object Rungis E69197 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: Rungis | Statement: [Fresnes, nearbyCity, Rungis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rungis
Context triple: [Fresnes, nearbyCity, Rungis]
  • A. Rungis, France chosen
    Rungis, France is a southern suburb of Paris best known for hosting the Marché International de Rungis, one of the world’s largest wholesale food markets.
  • B. Rousset
    Rousset is a French town in the Provence-Alpes-Côte d’Azur region known for hosting significant semiconductor and microelectronics facilities, including a major STMicroelectronics design center.
  • C. Mézidon Vallée d'Auge
    Mézidon Vallée d'Auge is a commune in the Calvados department of northwestern France, known for its location in the historic Pays d'Auge region.
  • D. Ermenonville
    Ermenonville is a village in northern France known for its picturesque landscape garden and as the place where philosopher Jean-Jacques Rousseau spent his final days.
  • E. Bougival
    Bougival is a picturesque commune along the Seine River in the western suburbs of Paris, long associated with Impressionist painters and riverside leisure.
  • 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80c443b88190968d2092a73e1ee4 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d139fdaccc8190b5c160aedcfcceca completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:55 p.m.