Triple

T3351284
Position Surface form Disambiguated ID Type / Status
Subject Spijkenisse E70497 entity
Predicate hasMetroStation P522 FINISHED
Object Spijkenisse Centrum E70497 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: Spijkenisse Centrum | Statement: [Spijkenisse, hasMetroStation, Spijkenisse Centrum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spijkenisse Centrum
Context triple: [Spijkenisse, hasMetroStation, Spijkenisse Centrum]
  • A. Spijk
    Spijk is a small village in the Dutch province of Groningen, known for its rural character and historic setting near the Ems estuary.
  • B. Spijkenisse chosen
    Spijkenisse is a town and former municipality in the western Netherlands, now part of the municipality of Nissewaard and known as a suburban area near Rotterdam.
  • C. Nijmegen Quarter
    Nijmegen Quarter was a historical administrative region centered around the city of Nijmegen within the medieval Duchy of Guelders in the Low Countries.
  • D. Hackenholt
    Hackenholt is a German surname most notably associated with Lorenz Hackenholt, an SS officer involved in the Nazi extermination camps during World War II.
  • E. Begijnhof
    Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
  • 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_69ad85a4ef7c8190a29e2bbd6fa454e4 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb220721c81909eb4d8d35c923927 completed March 8, 2026, 5:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3252f3f248190bb61db5c4fd2781a completed March 12, 2026, 8:42 p.m.
Created at: March 8, 2026, 3:12 p.m.