Triple

T5688526
Position Surface form Disambiguated ID Type / Status
Subject Roosendaal–Vlissingen railway E125370 entity
Predicate connects P390 FINISHED
Object Goes E71950 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: Goes | Statement: [Roosendaal–Vlissingen railway, connects, Goes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goes
Context triple: [Roosendaal–Vlissingen railway, connects, 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. Gonet
    Gonet is a surname most notably associated with Scottish actress Stella Gonet.
  • D. GOS
    GOS is the acronym for the Global Observing System, an international network of instruments and facilities that continuously monitor the Earth's atmosphere, oceans, and land for weather and climate services.
  • E. Gol
    Gol is a municipality in Viken county, Norway, known for its mountainous landscapes, outdoor recreation, and the historic Gol Stave Church replica at the Gordarike family park.
  • 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_69c0082a884c8190a79001bae658941f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e1c6148190aeae7620bd9ee9d4 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a47457c8190bc75f11a7f011a8a completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.