Triple

T1522358
Position Surface form Disambiguated ID Type / Status
Subject Mae Sot E32257 entity
Predicate locatedIn P40 FINISHED
Object Tak Province E177831 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: Tak Province | Statement: [Mae Sot, locatedIn, Tak Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tak Province
Context triple: [Mae Sot, locatedIn, Tak Province]
  • A. Tak Province chosen
    Tak Province is a mountainous region in western Thailand known for its diverse ethnic communities, including a significant Karen population, and its forests, waterfalls, and border trade with Myanmar.
  • B. Lusaka Province
    Lusaka Province is a central region of Zambia that includes the nation’s capital city and serves as a key political and economic hub.
  • C. Kunene Region
    Kunene Region is a sparsely populated, northwestern region of Namibia known for its rugged landscapes, desert-adapted wildlife, and remote Atlantic coastline.
  • D. Makira-Ulawa Province
    Makira-Ulawa Province is an island province in the Solomon Islands, known for its rugged landscapes, rich biodiversity, and predominantly subsistence-based rural communities.
  • E. 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.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907fe8b0c8190a765afd3a10ee5e0 completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad401616ec81908edd9dcb9f4a0184 completed March 8, 2026, 9:23 a.m.
Created at: March 4, 2026, 7:26 p.m.