Triple

T17174187
Position Surface form Disambiguated ID Type / Status
Subject Ede Centrum railway station E416815 entity
Predicate locatedIn P40 FINISHED
Object Ede E84526 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: Ede | Statement: [Ede Centrum railway station, locatedIn, Ede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ede
Context triple: [Ede Centrum railway station, locatedIn, Ede]
  • A. Ede chosen
    Ede is a Dutch municipality and town known for its location near the Hoge Veluwe National Park in the province of Gelderland.
  • B. Ede
    Ede is a historic town and major urban center in southwestern Nigeria, known for its Yoruba heritage and role as a commercial hub in Osun State.
  • C. Satala
    Satala is a coastal village and harbor area on the island of Tutuila in American Samoa, known historically as a commercial and maritime hub near the capital region.
  • D. Satala
    Satala was an important Roman military stronghold in ancient Armenia Minor, strategically located near the empire’s eastern frontier.
  • E. Varedo
    Varedo is a municipality in the Lombardy region of northern Italy, located in the province of Monza and Brianza.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0c329081909f118bd4b7be8653 completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0148435f6081909bfc6cc1ef59d971 completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:37 a.m.