Triple

T26892878
Position Surface form Disambiguated ID Type / Status
Subject Mahasthangarh E677821 entity
Predicate religiousRemainsInclude P183480 FINISHED
Object Buddhist structures 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: Buddhist structures | Statement: [Mahasthangarh, religiousRemainsInclude, Buddhist structures]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousRemainsInclude
Context triple: [Mahasthangarh, religiousRemainsInclude, Buddhist structures]
  • A. religiousElement
    Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
  • B. religiousSceneSpecialization
    Indicates a relationship where a scene is specifically characterized or classified by a particular religious theme, context, or function.
  • C. religiousTarget
    Indicates that an action, policy, or behavior is directed at someone or something specifically because of their religion or religious affiliation.
  • D. hasReligiousSignificanceVia
    Indicates that something holds religious significance specifically by means of, or through the mediation of, another entity, event, or context.
  • E. hasReligious
    Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
  • F. None of above. chosen

Provenance (4 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_69eee9befee48190a26f214faa867be7 completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f7a01efcc08190bba489a9099b8684 completed May 3, 2026, 7:21 p.m.
PD Predicate disambiguation batch_69f79e4888248190be2f63cdfb5cd7b7 completed May 3, 2026, 7:13 p.m.
PDg Predicate description generation batch_69f79f477c4c8190a35cb6d87b1dcbd1 completed May 3, 2026, 7:17 p.m.
Created at: April 27, 2026, 5:46 a.m.