Triple

T17451297
Position Surface form Disambiguated ID Type / Status
Subject Royal Palace, Phnom Penh E424918 entity
Predicate locatedIn P40 FINISHED
Object Daun Penh 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: Daun Penh District | Statement: [Royal Palace, Phnom Penh, locatedIn, Daun Penh District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daun Penh District
Context triple: [Royal Palace, Phnom Penh, locatedIn, 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 (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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4513e57248190824b540865311f44 completed April 19, 2026, 3:51 a.m.
Created at: April 10, 2026, 5:47 a.m.