Triple

T15042268
Position Surface form Disambiguated ID Type / Status
Subject Air Arabia E378628 entity
Predicate operatesIn P82 FINISHED
Object Qatar E13453 NE 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: Qatar | Statement: [Air Arabia, operatesIn, Qatar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qatar
Context triple: [Air Arabia, operatesIn, Qatar]
  • A. Qatar chosen
    Qatar is a wealthy Gulf nation on the Arabian Peninsula known for its vast natural gas reserves, rapid modernization, and large expatriate workforce.
  • B. Kuwait
    Kuwait is a small, oil-rich Gulf nation on the Arabian Peninsula known for its modern capital Kuwait City, significant expatriate workforce, and strategic geopolitical importance.
  • C. Bahrain
    Bahrain is a small island nation in the Persian Gulf known for its rich history, oil wealth, and status as a regional financial and cultural hub.
  • D. Bahrain
    Bahrain is a popular riverside town and tourist destination in Pakistan’s Swat Valley, known for its scenic beauty and as a base for exploring nearby mountain areas.
  • E. Saudi Arabia
    Saudi Arabia is a Middle Eastern kingdom on the Arabian Peninsula known for its vast oil reserves, custodianship of Islam’s holiest sites, and significant geopolitical influence.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded82f73208190bb55fa6b20074e27 completed April 15, 2026, 12:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01d44044819088c86f46b02404ed completed May 9, 2026, 9:43 a.m.
Created at: April 10, 2026, 3 a.m.