Triple

T8094427
Position Surface form Disambiguated ID Type / Status
Subject Sauda E188946 entity
Predicate administrativeCenter P1474 FINISHED
Object Sauda (town) E188946 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: Sauda (town) | Statement: [Sauda, administrativeCenter, Sauda (town)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sauda (town)
Context triple: [Sauda, administrativeCenter, Sauda (town)]
  • 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. Qardaha
    Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
  • D. As-Suwayda
    As-Suwayda is a city in southwestern Syria known as a center of the Druze community and for its nearby ancient and volcanic landscapes.
  • E. Shammar
    Shammar is a prominent Arab tribal confederation historically centered in the Najd region and influential across parts of the Arabian Peninsula and Iraq.
  • 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_69ca82b7b3e88190b9041ab0ef28b3cb completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb429089cc81909e4625f9cc7e305f completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc64112138819096050975d707d8ee completed April 1, 2026, 12:17 a.m.
Created at: March 30, 2026, 5:30 p.m.