Triple

T11719840
Position Surface form Disambiguated ID Type / Status
Subject Sacred Sites Program E278598 entity
Predicate supportsPropertyType P24486 FINISHED
Object churches 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: churches | Statement: [Sacred Sites Program, supportsPropertyType, churches]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportsPropertyType
Context triple: [Sacred Sites Program, supportsPropertyType, churches]
  • A. supportsType chosen
    Indicates that one entity is capable of handling, accepting, or being compatible with a specified type.
  • B. appliesToPropertyType
    Indicates that something (such as a rule, constraint, or operation) is relevant to or valid for a specific type of property.
  • C. supportsTargetType
    Indicates that one entity is capable of operating with, handling, or being compatible with a specified target type.
  • D. hasPropertyType
    Indicates that an entity possesses or is associated with a specific type or category of property.
  • E. supportsModelType
    Indicates that an entity is compatible with, or can operate using, a specified model type.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4c26e4c8190ae30d906b4fd4221 completed April 10, 2026, 7:20 a.m.
PD Predicate disambiguation batch_69d88a7d483081909c2a101087515d74 completed April 10, 2026, 5:28 a.m.
Created at: April 8, 2026, 9:40 p.m.