Triple

T20736384
Position Surface form Disambiguated ID Type / Status
Subject Oude Kwaremont E509719 entity
Predicate near P350 FINISHED
Object Ronse NE NERFINISHED

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: Ronse | Statement: [Oude Kwaremont, near, Ronse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ronse
Context triple: [Oude Kwaremont, near, Ronse]
  • A. Ronse chosen
    Ronse is a small city in western Belgium known for its textile-industry heritage and location in the hilly Flemish Ardennes.
  • B. Morangis
    Morangis is a commune in the southern suburbs of Paris, located in the Essonne department in the Île-de-France region of northern France.
  • C. Beaufays
    Beaufays is a village in the municipality of Chaudfontaine in the province of Liège, Belgium.
  • D. Denau
    Denau is a city in southern Uzbekistan known as a regional center near the border with Tajikistan.
  • E. Borgentreich
    Borgentreich is a small town in North Rhine-Westphalia, Germany, known for its rural character and historic churches.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20a02d48190bba22d1bdbeb370d completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:31 p.m.