Triple

T7456837
Position Surface form Disambiguated ID Type / Status
Subject Kinana E172145 entity
Predicate preIslamicCenter P73479 FINISHED
Object vicinity of Mecca 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: vicinity of Mecca | Statement: [Kinana, preIslamicCenter, vicinity of Mecca]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preIslamicCenter
Context triple: [Kinana, preIslamicCenter, vicinity of Mecca]
  • A. hasIslamicCenter
    Indicates that a place or entity possesses, hosts, or contains an Islamic center as part of its facilities or within its boundaries.
  • B. preIslamicPresence chosen
    Indicates the existence or activity of someone or something in a place or context during the period before the advent of Islam.
  • C. preIslamicFigure
    Indicates that the subject is a notable person or character who lived or is traditionally placed in the period before the advent of Islam.
  • D. preIslamicOccupation
    Indicates the role, job, or position a person held before the advent or adoption of Islam in their context.
  • E. preIslamicReligion
    Indicates that an entity practiced, adhered to, or was associated with a religious belief system that existed before the advent or spread of Islam.
  • 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f3b0780881909e645160dd49eb57 completed March 27, 2026, 9:16 p.m.
PD Predicate disambiguation batch_69c6f039f7248190bb4183f97b605763 completed March 27, 2026, 9:01 p.m.
Created at: March 27, 2026, 3:15 p.m.