Triple

T10133381
Position Surface form Disambiguated ID Type / Status
Subject Ourthe Orientale E226794 entity
Predicate flowsThrough P225 FINISHED
Object Houffalize E44453 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: Houffalize | Statement: [Ourthe Orientale, flowsThrough, Houffalize]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Houffalize
Context triple: [Ourthe Orientale, flowsThrough, Houffalize]
  • A. Houffalize chosen
    Houffalize is a small town in the Belgian Ardennes known for its World War II history, outdoor tourism, and scenic natural surroundings.
  • B. Boechout
    Boechout is a municipality in the Belgian province of Antwerp, known for its suburban character and proximity to the city of Antwerp.
  • C. Dallenwil
    Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
  • D. Gileppe
    Gileppe is a river in eastern Belgium known for feeding the Gileppe Dam and Reservoir near Jalhay.
  • E. Flandersbach
    Flandersbach is a district of the town of Wülfrath in North Rhine-Westphalia, Germany.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd33808048190b6023a6cd83fc179 completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e5d98a148190ada7082adb98ddaa completed April 5, 2026, 10:44 p.m.
Created at: March 30, 2026, 9:06 p.m.