Triple

T7568460
Position Surface form Disambiguated ID Type / Status
Subject Alawites E179178 entity
Predicate stateRelationship P50945 FINISHED
Object closely tied to Syrian state under Assad rule 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: closely tied to Syrian state under Assad rule | Statement: [Alawites, stateRelationship, closely tied to Syrian state under Assad rule]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: stateRelationship
Context triple: [Alawites, stateRelationship, closely tied to Syrian state under Assad rule]
  • A. relationshipToState chosen
    Indicates a relationship or connection that an entity has with a particular state or governmental body.
  • B. statePartyRelationship
    Indicates a formal relationship or affiliation between a state and a political party.
  • C. politicalRelation
    Indicates a relationship between entities that involves political alignment, influence, affiliation, conflict, or cooperation within a political context.
  • D. cityStatusRelationship
    Indicates a relationship specifying the administrative or legal status of a city (such as whether it is a capital, municipality type, or holds a particular civic designation).
  • E. churchStateRelation
    Indicates the nature or degree of interaction, separation, or influence between religious institutions and governmental authority.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f91d9bfc8190af6f5f8211c3dda2 completed March 27, 2026, 9:39 p.m.
PD Predicate disambiguation batch_69c6f4de77048190b8769e717fdcf8e7 completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:51 p.m.