Triple

T17333524
Position Surface form Disambiguated ID Type / Status
Subject Wangdue Phodrang District E420875 entity
Predicate borders P224 FINISHED
Object Gasa District 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: Gasa District | Statement: [Wangdue Phodrang District, borders, Gasa District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gasa District
Context triple: [Wangdue Phodrang District, borders, Gasa District]
  • A. Gasa District chosen
    Gasa District is a remote, sparsely populated district in northwestern Bhutan known for its high-altitude landscapes, hot springs, and proximity to the Bhutanese Himalayas.
  • B. Pallisa District
    Pallisa District is an administrative district in eastern Uganda known for its predominantly rural communities and agriculture-based economy.
  • C. Washuk District
    Washuk District is an administrative district in Pakistan’s Balochistan province, known for its sparsely populated desert terrain and strategic location near the country’s western borders.
  • D. Kalomo District
    Kalomo District is an administrative district in southern Zambia known for its agricultural activities and proximity to national parks such as Kafue.
  • E. Yakimanka District
    Yakimanka District is a central Moscow neighborhood known for its historic streets, cultural institutions, and proximity to the Moscow River and the Kremlin.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a106df48190a50f96febc13cde7 completed April 19, 2026, 2:12 a.m.
Created at: April 10, 2026, 5:43 a.m.