Triple

T10473986
Position Surface form Disambiguated ID Type / Status
Subject Silver Pagoda E246998 entity
Predicate cityDistrict P2709 FINISHED
Object Daun Penh District E866806 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: Daun Penh District | Statement: [Silver Pagoda, cityDistrict, Daun Penh District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daun Penh District
Context triple: [Silver Pagoda, cityDistrict, Daun Penh District]
  • A. Daun Penh District chosen
    Daun Penh District is a central urban district of Phnom Penh, Cambodia, known as the city’s historic and political core.
  • B. Phu Tan District
    Phu Tan District is a rural administrative district located in Cà Mau Province in Vietnam’s Mekong Delta region.
  • C. Dam Doi District
    Dam Doi District is a rural administrative district in Cà Mau Province in Vietnam’s Mekong Delta region.
  • D. Vu Ban District
    Vu Ban District is a rural administrative district located within Nam Định Province in the Red River Delta region of northern Vietnam.
  • E. Trongsa District
    Trongsa District is a central district of Bhutan known for its strategic location, historical significance, and the prominent Trongsa Dzong overlooking the Mangde Chhu valley.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5094e74048190a2c70ef32c50ba71 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90db8b1288190bb6bb064cb0724e0 completed April 10, 2026, 2:48 p.m.
Created at: April 6, 2026, 12:21 p.m.