Triple

T17717876
Position Surface form Disambiguated ID Type / Status
Subject Nete E442252 entity
Predicate flowsThrough P225 FINISHED
Object Geel 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: Geel | Statement: [Nete, flowsThrough, Geel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geel
Context triple: [Nete, flowsThrough, Geel]
  • A. Geel chosen
    Geel is a city in the Flemish region of Belgium, noted for its long-standing tradition of community-based psychiatric care.
  • B. Gelb
    Gelb is a surname most prominently associated with Peter Gelb, the influential general manager of the Metropolitan Opera in New York City.
  • C. Žut
    Žut is a largely uninhabited, rugged Adriatic island in Croatia known for its coves, clear waters, and popularity among sailors and boaters.
  • D. Yallow
    Yallow is a surname associated with the individual known by the name or handle "w1n5t0n."
  • E. Blågult
    Blågult is the popular Swedish nickname for the Sweden women's national football team, referencing the country's blue and yellow colors.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e474834aec81909ab7e8224c5a39d7 completed April 19, 2026, 6:21 a.m.
Created at: April 10, 2026, 10:06 a.m.