Triple

T23006101
Position Surface form Disambiguated ID Type / Status
Subject municipality of Moerdijk E572772 entity
Predicate contains P35 FINISHED
Object Standdaarbuiten NE NERFINISHED

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: Standdaarbuiten | Statement: [municipality of Moerdijk, contains, Standdaarbuiten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Standdaarbuiten
Context triple: [municipality of Moerdijk, contains, Standdaarbuiten]
  • A. Standdaarbuiten chosen
    Standdaarbuiten is a village in the Dutch province of North Brabant, located within the municipality of Moerdijk.
  • B. Uitweg
    Uitweg is a small village in the Dutch province of Utrecht, located within the municipality of Lopik.
  • C. Afuera
    Afuera is a short film written and directed by Steven Canals that explores themes of identity and marginalization within the LGBTQ+ Latinx community.
  • D. Standen
    Standen is an Arts and Crafts country house in West Sussex, England, designed in the late 19th century by architect Philip Webb for the Beale family and now cared for by the National Trust.
  • E. Stößen
    Stößen is a small town in the German state of Saxony-Anhalt that forms part of the broader Leipzig metropolitan area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835706dc8190b3f9743c0f336bb2 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.