Triple

T21313495
Position Surface form Disambiguated ID Type / Status
Subject Arnemuiden railway station E525403 entity
Predicate nearbyCity P350 FINISHED
Object Goes 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: Goes | Statement: [Arnemuiden railway station, nearbyCity, Goes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goes
Context triple: [Arnemuiden railway station, nearbyCity, Goes]
  • A. Goes chosen
    Goes is a historic city and municipality in the Dutch province of Zeeland, known for its medieval center and regional commercial significance.
  • B. Go!
    "Go!" is a high-energy song featured on the album "Be," known for its upbeat tempo and motivational tone.
  • C. Go!
    Go! is a classic 1962 hard bop jazz album by tenor saxophonist Dexter Gordon, widely regarded as one of his finest and most accessible recordings.
  • D. Vamos
    "Vamos" is a high-energy, surf-punk-influenced track by the Pixies, known for its Spanish lyrics, noisy guitar work, and prominent place in the band’s early repertoire.
  • E. Gonet
    Gonet is a surname most notably associated with Scottish actress Stella Gonet.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75dcc6350819093763632b7e6e4ac completed April 21, 2026, 11:21 a.m.
Created at: April 16, 2026, 4:27 p.m.