Triple

T32968855
Position Surface form Disambiguated ID Type / Status
Subject Cynwyd neighborhood E843451 entity
Predicate religiousInstitutionsIn P109749 FINISHED
Object synagogues 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: synagogues | Statement: [Cynwyd neighborhood, religiousInstitutionsIn, synagogues]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: religiousInstitutionsIn
Context triple: [Cynwyd neighborhood, religiousInstitutionsIn, synagogues]
  • A. religiousInstitutionLinked
    Indicates that there is an established connection or association between a religious institution and another entity.
  • B. religiousInstitutionShared
    Indicates that two entities are associated with or participate in the same religious institution or organization.
  • C. isMajorReligiousInstitutionIn chosen
    Indicates that a major religious institution (such as a church, mosque, temple, or similar body) is located within or primarily based in a specified place or region.
  • D. religiousInstitutionInPlot
    Indicates that a religious institution (such as a church, temple, mosque, or similar place of worship) is present or involved within the spatial or narrative context of the plot.
  • E. religiousInstitutionsNotableFor
    Indicates that certain religious institutions are notable or distinguished for a particular characteristic, quality, activity, or role.
  • 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_69f3494b9fc48190bb61c955ba471275 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69ff136ed2a881908f713401083970d1 completed May 9, 2026, 10:58 a.m.
PD Predicate disambiguation batch_69ff10f9e3448190b6cb6ea5a67713c1 completed May 9, 2026, 10:48 a.m.
Created at: May 1, 2026, 1:21 a.m.