Triple

T1234387
Position Surface form Disambiguated ID Type / Status
Subject Waal E26512 entity
Predicate flowsThrough P225 FINISHED
Object Gorinchem E183810 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: Gorinchem | Statement: [Waal, flowsThrough, Gorinchem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gorinchem
Context triple: [Waal, flowsThrough, Gorinchem]
  • A. Gorinchem chosen
    Gorinchem is a historic fortified city in the Netherlands known for its well-preserved city walls and picturesque old town.
  • B. Helmond
    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.
  • C. Roermond
    Roermond is a historic city in the southeastern Netherlands known for its medieval architecture, prominent churches, and large designer outlet shopping center.
  • D. Doetinchem
    Doetinchem is a Dutch city in the eastern Netherlands, serving as a regional center in the Achterhoek area with a mix of historic charm and modern amenities.
  • E. Roosendaal
    Roosendaal is a city in the southern Netherlands known as a regional center for commerce and transport near the Belgian border.
  • 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_69a4948571c88190a9191e451e6035fd completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be5d16ec819088056167c88d3318 completed March 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfd70b4a7c8190852503f31142562e completed March 22, 2026, 11:48 a.m.
Created at: March 1, 2026, 7:47 p.m.