Triple

T24033601
Position Surface form Disambiguated ID Type / Status
Subject Speaker of the Parliament of Lebanon E595168 entity
Predicate traditionalSect P154588 FINISHED
Object Shia Muslim 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: Shia Muslim | Statement: [Speaker of the Parliament of Lebanon, traditionalSect, Shia Muslim]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: traditionalSect
Context triple: [Speaker of the Parliament of Lebanon, traditionalSect, Shia Muslim]
  • A. mainTradition
    Indicates that one entity represents the primary or dominant tradition associated with another entity.
  • B. traditionalSee
    Indicates that one entity perceives or views another entity in a conventional or customary manner, following established norms or traditions.
  • C. establishedTradition
    Indicates that something has become a customary, long-standing practice or convention that is regularly followed within a group, culture, or context.
  • D. uniformTradition
    Indicates that multiple entities follow the same established customs, practices, or conventions in a consistent manner.
  • E. traditionalDedication
    Indicates a formal act of dedicating something (such as a work, object, or place) to a person, purpose, or entity in accordance with established customs or traditions.
  • F. None of above. chosen

Provenance (4 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_69e288bf45f08190a1b6ed8cd0b9e86b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d8d0ec8081908f98e78944bff040 completed April 29, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69f1764345388190a3102b62ddb729b4 completed April 29, 2026, 3:08 a.m.
PDg Predicate description generation batch_69f1785afe3c81909be28986ffe944bf completed April 29, 2026, 3:17 a.m.
Created at: April 17, 2026, 9:56 p.m.