Triple

T7156561
Position Surface form Disambiguated ID Type / Status
Subject باب المندب E166826 entity
Predicate اسم باللغة العربية P6450 FINISHED
Object باب المندب 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: باب المندب | Statement: [باب المندب, اسم باللغة العربية, باب المندب]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: اسم باللغة العربية
Context triple: [باب المندب, اسم باللغة العربية, باب المندب]
  • A. hasNameInArabic chosen
    Indicates that an entity is associated with a specific name expressed in the Arabic language.
  • B. hasGivenNameFormInArabic
    Indicates that an entity has a specific given-name form expressed in the Arabic language.
  • C. nameMeaningInArabic
    Indicates that the predicate specifies the meaning or interpretation of a name when expressed in the Arabic language.
  • D. hasNameInUrdu
    Indicates that an entity is associated with a specific name expressed in the Urdu language.
  • E. nameInKurdish
    Indicates that an entity is referred to by a particular name in the Kurdish language.
  • 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e80dafdc8190b24863b83f084d12 completed March 27, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69c6e1cd5c948190a9113b23f7308c21 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:47 p.m.