Triple

T10474027
Position Surface form Disambiguated ID Type / Status
Subject Wat Phnom E246999 entity
Predicate near P350 FINISHED
Object Sisowath Quay E866809 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: Sisowath Quay | Statement: [Wat Phnom, near, Sisowath Quay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sisowath Quay
Context triple: [Wat Phnom, near, Sisowath Quay]
  • A. Sisowath Quay chosen
    Sisowath Quay is a popular riverside promenade in Phnom Penh, Cambodia, known for its scenic views, restaurants, bars, and proximity to major cultural and historical sites.
  • B. Wat Xieng Thong
    Wat Xieng Thong is a historic and highly revered Buddhist temple complex in Luang Prabang, Laos, renowned for its traditional Lao architecture and richly decorated mosaics.
  • C. Viharn Luang
    Viharn Luang is the main assembly hall of Wat Phra Singh in Chiang Mai, Thailand, known for its classic Lanna architectural style and religious significance.
  • D. Krong Reap
    Krong Reap is the primary demon antagonist in the Khmer epic Reamker, the Cambodian adaptation of the Ramayana.
  • E. Baphuon
    Baphuon is an 11th-century Hindu temple mountain in Angkor, Cambodia, renowned for its grand pyramidal architecture and later conversion into a Buddhist site.
  • 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.