Triple

T20692477
Position Surface form Disambiguated ID Type / Status
Subject Mangkunegaran E508584 entity
Predicate hasCourtReligionElements P27867 FINISHED
Object Islamic-Javanese syncretism 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: Islamic-Javanese syncretism | Statement: [Mangkunegaran, hasCourtReligionElements, Islamic-Javanese syncretism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCourtReligionElements
Context triple: [Mangkunegaran, hasCourtReligionElements, Islamic-Javanese syncretism]
  • A. religionOfCourt
    Indicates the religious affiliation associated with a particular court.
  • B. hasDefendantReligion
    Indicates that a specified religion is the religious affiliation of the defendant in a legal case.
  • C. hasAssociatedReligion chosen
    Indicates that an entity is connected with or linked to a particular religion.
  • D. hasReligiousType
    Indicates that an entity is associated with or classified under a particular religion or religious category.
  • E. religiousCourtsJurisdiction
    Indicates that religious courts have legal authority or decision-making power over certain matters or individuals.
  • 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_69e0b4c1ed408190b72dd26b1e33f8a1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c10eaccc819085320fffbb0aeceb completed April 21, 2026, 12:13 a.m.
PD Predicate disambiguation batch_69e5c044d1108190b2b5d25de23f6401 completed April 20, 2026, 5:57 a.m.
Created at: April 16, 2026, 12:09 p.m.