Triple

T10132180
Position Surface form Disambiguated ID Type / Status
Subject South Holland E226364 entity
Predicate containsCity P294 FINISHED
Object Barendrecht E179305 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: Barendrecht | Statement: [South Holland, containsCity, Barendrecht]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barendrecht
Context triple: [South Holland, containsCity, Barendrecht]
  • A. Barendrecht chosen
    Barendrecht is a suburban town in the western Netherlands, located just south of Rotterdam and known for its residential character and logistics industry.
  • B. Roosendaal
    Roosendaal is a city in the southern Netherlands known as a regional center for commerce and transport near the Belgian border.
  • C. Voorhout
    Voorhout is a village in South Holland, Netherlands, that forms part of the municipality of Teylingen.
  • D. Drachten
    Drachten is a town in the Dutch province of Friesland known for its modern urban planning experiments and role as a regional commercial center.
  • E. Zoeterwoude
    Zoeterwoude is a small Dutch municipality and village known for its rural character and location near Leiden in the province of South Holland.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd336cbf48190b647c69675d0b06f completed April 2, 2026, 2:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbaa8acc8190839b9a9f9f821168 completed May 3, 2026, 4:14 a.m.
Created at: March 30, 2026, 9:06 p.m.