Triple

T17817783
Position Surface form Disambiguated ID Type / Status
Subject Prasat Kravan E444890 entity
Predicate hasMaterialDetail P1845 FINISHED
Object carved brick bonded with vegetal mortar 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: carved brick bonded with vegetal mortar | Statement: [Prasat Kravan, hasMaterialDetail, carved brick bonded with vegetal mortar]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMaterialDetail
Context triple: [Prasat Kravan, hasMaterialDetail, carved brick bonded with vegetal mortar]
  • A. hasMaterialType chosen
    Indicates that something is composed of, made from, or characterized by a specific type of material.
  • B. hasMaterialOption
    Indicates that an entity can be made from, or is available in, one or more alternative materials.
  • C. hasMaterialResource
    Indicates that an entity possesses, controls, or has access to a tangible material resource.
  • D. hasMaterialAspect
    Indicates that something possesses a physical or tangible component or aspect as part of its overall nature or existence.
  • E. hasPremiumMaterials
    Indicates that something is made from or includes higher-quality or superior-grade materials compared to standard options.
  • 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_69e48880457c81908214741d6cd7a1ee completed April 19, 2026, 7:47 a.m.
PD Predicate disambiguation batch_69e3d8de28688190844b65acf6af54e6 completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:14 a.m.