Triple

T191087
Position Surface form Disambiguated ID Type / Status
Subject Palestinian American E3722 entity
Predicate hasCulturalTieTo P1439 FINISHED
Object Palestinian culture 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: Palestinian culture | Statement: [Palestinian American, hasCulturalTieTo, Palestinian culture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCulturalTieTo
Context triple: [Palestinian American, hasCulturalTieTo, Palestinian culture]
  • A. hasAssociatedCulture chosen
    Indicates that an entity is related to, influenced by, or characterized by a particular culture.
  • B. relatedCountry
    Indicates that there is a relevant or associated relationship between an entity and a specified country, without specifying the exact nature of that relationship.
  • C. hasCulturalSignificanceFor
    Indicates that something holds particular cultural meaning, value, or importance for a specified group or community.
  • D. hasCulturalRole
    Indicates that an entity fulfills or is assigned a specific function, position, or significance within a cultural, social, or traditional context.
  • E. hasCulturalFeature
    Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a25964fc5c8190bd3e37daaf695ecf completed Feb. 28, 2026, 2:56 a.m.
PD Predicate disambiguation batch_69a25673ce3c8190b1a3df5b814a0595 completed Feb. 28, 2026, 2:44 a.m.
Created at: Feb. 28, 2026, 2:41 a.m.