Triple

T30476788
Position Surface form Disambiguated ID Type / Status
Subject Ruc people E775463 entity
Predicate integrationPolicyTarget P42489 FINISHED
Object sedentarization programs in Vietnam 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: sedentarization programs in Vietnam | Statement: [Ruc people, integrationPolicyTarget, sedentarization programs in Vietnam]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: integrationPolicyTarget
Context triple: [Ruc people, integrationPolicyTarget, sedentarization programs in Vietnam]
  • A. integrationPolicy
    Indicates the rules or strategy governing how separate components, systems, or processes are combined and made to work together.
  • B. targetedByPolicy chosen
    Indicates that an entity is the intended subject or focus of a specific policy’s rules, actions, or effects.
  • C. targetedPolicy
    Indicates that a policy is specifically directed at, or designed to affect, a particular subset of entities rather than applying broadly.
  • D. integrationGoal
    Indicates that one entity has the objective or intended outcome of being combined, unified, or made interoperable with another entity or system.
  • E. implementedPolicy
    Indicates that a particular policy has been put into effect or carried out by an entity.
  • 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_69f22497341481909c21ba329fadaa6b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6d6a6b04c8190bee4cf9c00665ef7 completed May 3, 2026, 5:01 a.m.
PD Predicate disambiguation batch_69f6d26ceb08819091c71c001e954936 completed May 3, 2026, 4:43 a.m.
Created at: April 29, 2026, 8:12 p.m.