Triple

T24090721
Position Surface form Disambiguated ID Type / Status
Subject Amal militia E596778 entity
Predicate ethnoReligiousCharacter P33575 FINISHED
Object predominantly 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: predominantly Shia Muslim | Statement: [Amal militia, ethnoReligiousCharacter, predominantly Shia Muslim]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: ethnoReligiousCharacter
Context triple: [Amal militia, ethnoReligiousCharacter, predominantly Shia Muslim]
  • A. hasEthnoReligiousDimension
    Indicates that the relationship, event, or phenomenon involves or is characterized by an ethnic and/or religious aspect or component.
  • B. religiousCharacteristic chosen
    Indicates that one entity has a religious attribute, quality, or affiliation that characterizes or distinguishes it in a religious context.
  • C. ethnoreligiousIdentity
    Indicates a relationship where an entity is characterized by a combined ethnic and religious group identity.
  • D. ethnicOrReligiousGroup
    Indicates that one entity is an ethnic or religious group to which the other entity belongs or with which it is associated.
  • E. hasReligiousCharacter
    Indicates that an entity possesses a religious nature, function, or affiliation, or is characterized by religious aspects or significance.
  • 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_69e288c4638c81909bacc28a1e3d436b completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1dc2e672c8190b3e4be041835cc27 completed April 29, 2026, 10:23 a.m.
PD Predicate disambiguation batch_69f17651458c8190bbfd301883e46085 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 10:52 p.m.