Triple

T6692274
Position Surface form Disambiguated ID Type / Status
Subject Saint-Cloud E152655 entity
Predicate adjacentTo P224 FINISHED
Object Garches E398522 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: Garches | Statement: [Saint-Cloud, adjacentTo, Garches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garches
Context triple: [Saint-Cloud, adjacentTo, Garches]
  • A. Garches chosen
    Garches is a suburban commune in the western outskirts of Paris, France, known for its residential character and proximity to major Parisian business districts.
  • B. Neuilly-sur-Seine
    Neuilly-sur-Seine is an affluent suburban commune just west of central Paris, known for its upscale residential neighborhoods and proximity to major business districts like La Défense.
  • C. Bourg-la-Reine
    Bourg-la-Reine is a residential suburb in the southern outskirts of Paris, France, known for its convenient commuter access to the capital and its quiet, small-town atmosphere.
  • D. Ivry-sur-Seine
    Ivry-sur-Seine is a suburban commune in the southeastern outskirts of Paris, France, known for its mix of residential areas, industrial zones, and strong tradition of left-wing politics.
  • E. Palaiseau
    Palaiseau is a suburban commune in the southern outskirts of Paris, France, known for hosting major scientific and engineering 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_69c6880687b08190805278b504d1c92c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6b193a8c08190a99152a8eca018e6 completed March 27, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce38b159d0819087efca6f80797971 completed April 2, 2026, 9:36 a.m.
Created at: March 27, 2026, 2:05 p.m.