Triple

T34015802
Position Surface form Disambiguated ID Type / Status
Subject Lakewood Township E872237 entity
Predicate hasMajorReligiousOrientation P202760 FINISHED
Object Orthodox Judaism 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: Orthodox Judaism | Statement: [Lakewood Township, hasMajorReligiousOrientation, Orthodox Judaism]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMajorReligiousOrientation
Context triple: [Lakewood Township, hasMajorReligiousOrientation, Orthodox Judaism]
  • A. hasReligious
    Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
  • B. hasReligiousType
    Indicates that an entity is associated with or classified under a particular religion or religious category.
  • C. hasMainReligionContext chosen
    Indicates that one entity serves as the primary religious context, tradition, or framework associated with another entity.
  • D. hadMajorReligion
    Indicates that a particular religion was the primary or dominant faith practiced within a given entity (such as a region, state, or population) during a specified period.
  • E. hasReligiousOrigin
    Indicates that something originates from, is derived from, or is fundamentally based on a religious tradition, belief system, or practice.
  • 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_69f349a19ad88190ab586f010c804a8f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a015ff02814819094806517fc4c69fa completed May 11, 2026, 4:49 a.m.
PD Predicate disambiguation batch_6a0154ddd3c48190b85f9f48731cfd8f completed May 11, 2026, 4:02 a.m.
Created at: May 1, 2026, 1:51 a.m.