Triple

T16353662
Position Surface form Disambiguated ID Type / Status
Subject Afghan nationalism E397118 entity
Predicate hasEthnicScope P123087 FINISHED
Object multiethnic Afghan population 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: multiethnic Afghan population | Statement: [Afghan nationalism, hasEthnicScope, multiethnic Afghan population]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEthnicScope
Context triple: [Afghan nationalism, hasEthnicScope, multiethnic Afghan population]
  • A. hasEthnicTarget
    Indicates that an action, statement, or event is directed toward or targets a specific ethnic group.
  • B. hasEthnicCharacteristic
    Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
  • C. hasEthnolinguisticPresence
    Indicates that a particular ethnolinguistic group is present or represented within a specified place, context, or population.
  • D. isInEthnicState
    Indicates that an entity exists within or is governed by a political state defined primarily by a specific ethnic group.
  • E. holderEthnicity
    Indicates the ethnic background or group to which the holder of something (e.g., a document, account, or item) belongs.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2faccab748190b11e0808e422f2ea completed April 18, 2026, 3:30 a.m.
PD Predicate disambiguation batch_69e226f37ecc819082af58b29b4e39d1 completed April 17, 2026, 12:26 p.m.
PDg Predicate description generation batch_69e24555bb6c8190977cf5c5f9149056 completed April 17, 2026, 2:36 p.m.
Created at: April 10, 2026, 5:07 a.m.