Triple

T6873938
Position Surface form Disambiguated ID Type / Status
Subject King Abdulaziz International Airport E158623 entity
Predicate hasSpecialRole P52608 FINISHED
Object primary airport for Hajj operations 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: primary airport for Hajj operations | Statement: [King Abdulaziz International Airport, hasSpecialRole, primary airport for Hajj operations]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpecialRole
Context triple: [King Abdulaziz International Airport, hasSpecialRole, primary airport for Hajj operations]
  • A. hasSpecial
    Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
  • B. specialRole chosen
    Indicates that an entity holds a distinctive or exceptional function, status, or responsibility in relation to another entity or context.
  • C. hasCapitalRole
    Indicates that an entity holds an official role, function, or status specifically associated with a capital city.
  • D. hasRoleCharacteristic
    Indicates that an entity possesses a specific characteristic, quality, or attribute associated with a particular role.
  • E. hasNotableRoleIn
    Indicates that an entity holds a significant or noteworthy role or function within another entity, event, work, or context.
  • 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_69c68832af1481908ce356e133ebaebe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8c8d3888190b1c1f74aa66d6071 completed March 27, 2026, 7:21 p.m.
PD Predicate disambiguation batch_69c6d7b363dc8190a7225b540ab2bc40 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:22 p.m.