Triple

T9717664
Position Surface form Disambiguated ID Type / Status
Subject Dong Thap E235382 entity
Predicate borders P224 FINISHED
Object Prey Veng province E623864 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: Prey Veng province | Statement: [Dong Thap, borders, Prey Veng province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prey Veng province
Context triple: [Dong Thap, borders, Prey Veng province]
  • A. Prey Veng Province chosen
    Prey Veng Province is a largely rural agricultural province in southeastern Cambodia, located along the Mekong River and bordering Vietnam.
  • B. Oddar Meanchey Province
    Oddar Meanchey Province is a remote northwestern region of Cambodia along the Thai border, historically known as the area where Khmer Rouge leader Pol Pot died.
  • C. Kompong Thom Province
    Kompong Thom Province is a central Cambodian province known for its rural landscapes, historical temples, and as the birthplace of Khmer Rouge leader Pol Pot.
  • D. Koh Kong Province
    Koh Kong Province is a coastal region in southwestern Cambodia known for its extensive mangrove forests, islands, and proximity to the Gulf of Thailand.
  • E. Kampot Province
    Kampot Province is a coastal region in southwestern Cambodia known for its pepper plantations, riverside town, and proximity to Bokor National Park.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e3ea61081908a5671fc5be9a738 completed April 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69d19f986f48819090376fb5aafb3da2 completed April 4, 2026, 11:32 p.m.
Created at: March 30, 2026, 8:20 p.m.