Triple

T2781511
Position Surface form Disambiguated ID Type / Status
Subject Indre E61705 entity
Predicate flowsThroughCity P10456 FINISHED
Object Loches E133450 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: Loches | Statement: [Indre, flowsThroughCity, Loches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loches
Context triple: [Indre, flowsThroughCity, Loches]
  • A. Loches chosen
    Loches is a historic fortified town in central France renowned for its medieval château and well-preserved old quarter.
  • B. Rethondes
    Rethondes is a commune in northern France best known as the site where the World War I armistice was signed in 1918.
  • C. Anières
    Anières is a small lakeside municipality in western Switzerland, situated on the shores of Lake Geneva near the city of Geneva.
  • D. Lac de Serre-Ponçon
    Lac de Serre-Ponçon is a large artificial lake in southeastern France, created by damming the Durance River and known for its hydroelectric power production, irrigation role, and recreational activities.
  • E. Lac Pavin
    Lac Pavin is a deep, nearly circular volcanic crater lake in France’s Auvergne region, renowned for its meromictic waters and scenic setting.
  • 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_69ab4b7e43c48190997b8fc8fb1663ab completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdd9b88888190ab021afbaf3aa3c0 completed March 7, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc05f4e7881908bf5b6f7df331041 completed March 10, 2026, 6:55 a.m.
Created at: March 6, 2026, 9:57 p.m.