Triple

T18135146
Position Surface form Disambiguated ID Type / Status
Subject Baphuon E434115 entity
Predicate near P350 FINISHED
Object Phimeanakas 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: Phimeanakas | Statement: [Baphuon, near, Phimeanakas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phimeanakas
Context triple: [Baphuon, near, Phimeanakas]
  • A. Phimeanakas chosen
    Phimeanakas is an ancient Hindu temple within Angkor Thom in Cambodia, built in a stepped pyramid style and historically associated with the royal palace of the Khmer Empire.
  • B. Supayalay
    Supayalay was a Burmese queen consort of the Konbaung Dynasty and one of the principal wives of the last king of Burma, Thibaw Min.
  • C. Phaphund
    Phaphund is a town in the Auraiya district of Uttar Pradesh, India, known primarily as a local commercial center and railway junction serving surrounding rural areas.
  • D. Chapakot
    Chapakot is a town in central Nepal that serves as one of the local settlements within Syangja District of Gandaki Province.
  • E. Kalasin
    Kalasin is a provincial capital city in northeastern Thailand known for its rich Isan culture and nearby dinosaur fossil sites.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4de0677088190aaf584882b3d74a1 completed April 19, 2026, 1:52 p.m.
Created at: April 10, 2026, 10:29 a.m.