Triple

T17823852
Position Surface form Disambiguated ID Type / Status
Subject Angkor Thom E445059 entity
Predicate builtInMaterial P1272 FINISHED
Object sandstone LITERAL 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: sandstone | Statement: [Angkor Thom, builtInMaterial, sandstone]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: builtInMaterial
Context triple: [Angkor Thom, builtInMaterial, sandstone]
  • A. exampleMaterial
    Indicates that something serves as a representative or illustrative material or sample of something else.
  • B. usesMaterialBy
    Indicates that one entity makes use of or employs a material that is provided, specified, or created by another entity.
  • C. featuresMaterialType
    Indicates that an entity is characterized by or incorporates a specific type of material.
  • D. materialUsed chosen
    Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
  • E. builtIn
    Indicates that one entity is inherently included as a standard, pre-existing component or feature of another entity, rather than being added or installed separately.
  • F. None of above.

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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4891352ac8190ad3d669fea1c9fbb completed April 19, 2026, 7:49 a.m.
PD Predicate disambiguation batch_69e3d8e266888190ae976b4b7d5b886f completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:15 a.m.