Triple

T11110245
Position Surface form Disambiguated ID Type / Status
Subject Pepinster E262735 entity
Predicate hasSubdivision P747 FINISHED
Object Pepinster (town) E262735 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: Pepinster (town) | Statement: [Pepinster, hasSubdivision, Pepinster (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pepinster (town)
Context triple: [Pepinster, hasSubdivision, Pepinster (town)]
  • A. Pepinster chosen
    Pepinster is a municipality in the province of Liège in eastern Belgium, known for its location in the Vesdre valley.
  • B. Sterrebeek
    Sterrebeek is a residential village in the Flemish Brabant province of Belgium, situated just east of Brussels and known for its green surroundings and proximity to the capital.
  • C. Kesteren
    Kesteren is a village in the Dutch province of Gelderland, situated along the Nederrijn river in the central Netherlands.
  • D. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • E. Lunteren
    Lunteren is a village in the Dutch province of Gelderland, known for its rural character and central location in the municipality of Ede.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a6964508190b679303d3b3a4fd6 completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d759bc88190b670c373f3647a41 completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.