Triple

T7357822
Position Surface form Disambiguated ID Type / Status
Subject Ephphatha E169669 entity
Predicate appearsInChapter P795 FINISHED
Object Mark 7 E9358 NE 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: Mark 7 | Statement: [Ephphatha, appearsInChapter, Mark 7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark 7
Context triple: [Ephphatha, appearsInChapter, Mark 7]
  • A. Mark 13
    Mark 13 is a chapter in the New Testament in which Jesus delivers an apocalyptic discourse about the destruction of the Temple, future tribulations, and his eventual return.
  • B. Mark 3A
    Mark 3A is a sub-type of British Rail’s Mark 3 passenger coach design, featuring updated interiors and technical refinements for improved comfort and performance.
  • C. Mark 3B
    Mark 3B is a sub-series of British Rail Mark 3 passenger coaches, distinguished by design and interior modifications tailored for specific service requirements.
  • D. Gospel of Mark chosen
    The Gospel of Mark is one of the four canonical New Testament gospels, presenting a fast-paced narrative of Jesus Christ’s ministry, death, and resurrection and considered by many scholars to be the earliest written gospel.
  • E. Mark's
    Mark's is a Canadian retail chain specializing in casual and workwear clothing, footwear, and accessories.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f13bf2e881909bc95b93a5664a4f completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7faaa8ec8819093bf6b4562472288 completed March 28, 2026, 3:58 p.m.
Created at: March 27, 2026, 3:06 p.m.