Triple

T23384891
Position Surface form Disambiguated ID Type / Status
Subject Vindafjord E593850 entity
Predicate borderWith P224 FINISHED
Object Sauda 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: Sauda | Statement: [Vindafjord, borderWith, Sauda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sauda
Context triple: [Vindafjord, borderWith, Sauda]
  • A. Sauda chosen
    Sauda is a small industrial town and municipality in Rogaland county, Norway, known for its hydropower-based industry and dramatic fjord and mountain landscape.
  • B. Saada
    Saada is a city and governorate in northern Yemen known as a stronghold and historical center of the Houthi movement.
  • C. Saud
    Saud is a masculine Arabic given name commonly used in Saudi Arabia and other Arab countries, often associated with members of the Saudi royal family.
  • D. Saudagar
    Saudagar is a 1991 Hindi-language Bollywood drama film directed by Subhash Ghai, known for its story of friendship, rivalry, and reconciliation between two estranged friends.
  • E. Samlah
    Samlah is a minor biblical figure listed in Genesis 36 as one of the early kings of Edom.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a497661c8190b52fa27419594989 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:35 p.m.