Triple

T16987453
Position Surface form Disambiguated ID Type / Status
Subject A16 E412105 entity
Predicate runsTo P2127 FINISHED
Object Porrentruy E110710 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: Porrentruy | Statement: [A16, runsTo, Porrentruy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porrentruy
Context triple: [A16, runsTo, Porrentruy]
  • A. Porrentruy chosen
    Porrentruy is a historic town in northwestern Switzerland known for its medieval castle and role as a regional center in the canton of Jura.
  • B. Verviers
    Verviers is a city in eastern Belgium known historically for its textile industry and as a regional center in the province of Liège.
  • C. Esch-sur-Sûre
    Esch-sur-Sûre is a small historic town in northwestern Luxembourg, known for its medieval castle ruins and picturesque setting along a bend of the Sûre River.
  • D. Céligny
    Céligny is a small, affluent Swiss village on the shores of Lake Geneva, known for its picturesque setting and as the burial place of actor Richard Burton.
  • E. Buizingen
    Buizingen is a village and suburb of Halle in Flemish Brabant, Belgium, known in part for the 2010 train collision that occurred near its railway station.
  • 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_69d886ca8f348190812768ea8d5055ce completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d27cd2048190800a60ae653e11e1 completed April 18, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01232f69308190b4799ffcaaa98eeb completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 5:32 a.m.