Triple

T10724234
Position Surface form Disambiguated ID Type / Status
Subject Nebaioth E252896 entity
Predicate regionTraditionallyAssociated P88079 FINISHED
Object northwestern Arabia 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: northwestern Arabia | Statement: [Nebaioth, regionTraditionallyAssociated, northwestern Arabia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regionTraditionallyAssociated
Context triple: [Nebaioth, regionTraditionallyAssociated, northwestern Arabia]
  • A. regionallyAssociatedWith
    Indicates that two entities are connected or related based on sharing the same or overlapping geographic or regional context.
  • B. regionOfAssociation
    Indicates a broader geographic or spatial area with which an entity is functionally, contextually, or organizationally associated.
  • C. locatedInTraditionalRegion chosen
    Indicates that an entity is situated within a specific traditional or historically recognized region.
  • D. associatedAdministrativeRegion
    Indicates that an entity is linked to, or falls under the jurisdiction of, a particular administrative region.
  • E. traditionalRegionOfResidence
    Indicates the customary or historically established geographic region where an entity (typically a person or group) resides or is considered to be from.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d46234081908e147638d0cb7e22 completed April 9, 2026, 2:21 a.m.
PD Predicate disambiguation batch_69d6f30455888190b77f476b8418eaee completed April 9, 2026, 12:29 a.m.
Created at: April 8, 2026, 9:14 p.m.