Triple

T13842027
Position Surface form Disambiguated ID Type / Status
Subject Fresnes-sur-Marne E332681 entity
Predicate sharesBorderWith P224 FINISHED
Object Charmentray E332683 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: Charmentray | Statement: [Fresnes-sur-Marne, sharesBorderWith, Charmentray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charmentray
Context triple: [Fresnes-sur-Marne, sharesBorderWith, Charmentray]
  • A. Charmentray chosen
    Charmentray is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
  • B. Chabreloche
    Chabreloche is a small commune in central France’s Puy-de-Dôme department, known for its location in the mountainous Auvergne region.
  • C. Chromius
    Chromius is a minor figure in Greek mythology known primarily as a descendant of the royal line associated with Tyro.
  • D. Martinchel
    Martinchel is a civil parish in the municipality of Abrantes, in central Portugal.
  • E. Chamalals
    The Chamalals are a small indigenous ethnic group of Dagestan in the North Caucasus, known for their distinct Northeast Caucasian language and traditional mountain village lifestyle.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02afce788190a74dce4e6a3569fa completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8f630d081909439e1cdc5d60430 completed May 3, 2026, 9:07 p.m.
Created at: April 9, 2026, 10:13 p.m.