Triple

T4748394
Position Surface form Disambiguated ID Type / Status
Subject Mount Gerizim area E105416 entity
Predicate continuityOfUse P52329 FINISHED
Object long-term religious center for Samaritans 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: long-term religious center for Samaritans | Statement: [Mount Gerizim area, continuityOfUse, long-term religious center for Samaritans]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: continuityOfUse
Context triple: [Mount Gerizim area, continuityOfUse, long-term religious center for Samaritans]
  • A. continuityStatus
    Indicates the state of whether something continues without interruption or has been broken, paused, or reset over time.
  • B. continuityFrom
    Indicates that one entity continues, extends, or proceeds directly from another in a seamless or unbroken manner.
  • C. legalContinuityWith
    Indicates that one entity maintains or inherits the legal identity, rights, and obligations of another entity over time, without interruption.
  • D. mainUseContinued chosen
    Indicates that the primary use or function of something persists or remains in effect over a subsequent period.
  • E. symbolicContinuity
    Indicates that there is a consistent, ongoing use or preservation of the same symbols or symbolic forms across time, contexts, or instances.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c567288190a420e6825ee72822 completed March 20, 2026, 3:16 p.m.
PD Predicate disambiguation batch_69bd6223defc8190823665a6592c1154 completed March 20, 2026, 3:05 p.m.
Created at: March 20, 2026, 1:20 p.m.