Triple

T1218723
Position Surface form Disambiguated ID Type / Status
Subject Oude Maas E26167 entity
Predicate locatedNear P294 FINISHED
Object Zwijndrecht E196049 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: Zwijndrecht | Statement: [Oude Maas, locatedNear, Zwijndrecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zwijndrecht
Context triple: [Oude Maas, locatedNear, Zwijndrecht]
  • A. Zwijndrecht chosen
    Zwijndrecht is a Dutch town and municipality located in the western Netherlands, known for its position along the rivers near the city of Dordrecht.
  • B. Naaldwijk
    Naaldwijk is a town in the Westland municipality of the western Netherlands, known for its extensive greenhouse horticulture and flower industry.
  • C. Scharendijke
    Scharendijke is a village in the Dutch province of Zeeland, known as a popular base for water sports and diving in the Grevelingen and North Sea area.
  • D. Hulst
    Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
  • E. Deurne
    Deurne is a district of the Belgian city of Antwerp, known for its residential neighborhoods and green spaces such as Rivierenhof park.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be08157c8190b248bb75b922644f completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfcb931f908190b72d825b95ae4861 completed March 22, 2026, 10:59 a.m.
Created at: March 1, 2026, 7:46 p.m.