Triple

T3482726
Position Surface form Disambiguated ID Type / Status
Subject Aarle-Rixtel E73530 entity
Predicate locatedNear P294 FINISHED
Object Helmond E521510 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: Helmond | Statement: [Aarle-Rixtel, locatedNear, Helmond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helmond
Context triple: [Aarle-Rixtel, locatedNear, Helmond]
  • A. Helmond chosen
    Helmond is a city in the southern Netherlands known for its historic castle, industrial heritage, and location near Eindhoven in the province of North Brabant.
  • B. Roosendaal
    Roosendaal is a city in the southern Netherlands known as a regional center for commerce and transport near the Belgian border.
  • C. Heerlen
    Heerlen is a city in the southeastern Netherlands known for its mining history and modernist architecture, located in the province of Limburg.
  • D. Apeldoorn
    Apeldoorn is a city in the province of Gelderland in the Netherlands, known for the royal palace Het Loo and its historical ties to the Dutch monarchy.
  • E. Gorinchem
    Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
  • 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_69ad85b3c9b08190857cae74c7f36da9 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb76b5188190bf8f8a3f646a7184 completed March 8, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69cd66d1507c8190a84a69cd0130bb3b completed April 1, 2026, 6:41 p.m.
Created at: March 8, 2026, 3:17 p.m.