Triple

T7989245
Position Surface form Disambiguated ID Type / Status
Subject Allmannajuvet Zinc Mine Museum E185759 entity
Predicate locatedIn P40 FINISHED
Object Sauda 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 | Statement: [Allmannajuvet Zinc Mine Museum, locatedIn, Sauda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sauda
Context triple: [Allmannajuvet Zinc Mine Museum, locatedIn, 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. Safi
    Safi is a Pashtun tribe associated with the Karlani tribal confederation in Afghanistan and Pakistan.
  • D. Safi
    Safi is a historic Moroccan port city on the Atlantic coast known for its fishing industry, ceramics, and Portuguese-era fortifications.
  • E. Al Furjan
    Al Furjan is a master-planned residential community in Dubai, United Arab Emirates, known for its family-friendly environment, villas and apartments, and proximity to major city hubs.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c4f98808190879113ad4af9bb4d completed March 31, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc568393008190b8ff6cc17f9b5c46 completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:16 p.m.