Triple

T20545404
Position Surface form Disambiguated ID Type / Status
Subject Thio E504456 entity
Predicate locatedIn P40 FINISHED
Object South Province 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: South Province | Statement: [Thio, locatedIn, South Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Province
Context triple: [Thio, locatedIn, South Province]
  • A. South Province chosen
    South Province is the southern administrative region of New Caledonia, encompassing the capital Nouméa and serving as the territory’s main political and economic center.
  • B. Tata Province
    Tata Province is an administrative region in southern Morocco known for its desert landscapes, oases, and Berber cultural heritage.
  • C. Shefa Province
    Shefa Province is an administrative region of Vanuatu in the South Pacific that includes the nation’s capital city, Port Vila, on the island of Efate.
  • D. Oriente Province
    Oriente Province was a former large administrative region in eastern Cuba that included major cities like Santiago de Cuba before being subdivided into smaller provinces in 1976.
  • E. Oriente Province
    Oriente Province is an administrative subdivision in the Cundinamarca Department of Colombia that encompasses municipalities such as Cáqueza.
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a29684648190969d8fc23743e288 completed April 20, 2026, 10:03 p.m.
Created at: April 16, 2026, 11:38 a.m.