Triple

T7991512
Position Surface form Disambiguated ID Type / Status
Subject Tulancingo E186016 entity
Predicate hasReligiousArchitecture P916 FINISHED
Object colonial-era 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: colonial-era churches | Statement: [Tulancingo, hasReligiousArchitecture, colonial-era churches]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasReligiousArchitecture
Context triple: [Tulancingo, hasReligiousArchitecture, colonial-era churches]
  • A. hasReligiousSite chosen
    Indicates that a location or entity possesses, contains, or is associated with a religious site such as a temple, church, mosque, shrine, or similar place of worship.
  • B. hasReligiousBuildingStyle
    Indicates that one entity (typically a building) exhibits or is characterized by the architectural style associated with a particular religion or religious tradition.
  • C. religiousBuildingDesigned
    Indicates that one entity (typically an architect or designer) is responsible for designing a religious building associated with the other entity.
  • D. hasMosque
    Indicates that one entity possesses, contains, or is the location of a mosque.
  • E. hasReligiousSee
    Indicates that one entity serves as the ecclesiastical or religious jurisdiction/seat (see) of another entity.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c712d0481908d163d2509d054fa completed March 31, 2026, 3:16 a.m.
PD Predicate disambiguation batch_69cb0483d3b48190b250c7603d747bca completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:16 p.m.