Triple

T13382108
Position Surface form Disambiguated ID Type / Status
Subject Aspire Zone E319341 entity
Predicate region P40 FINISHED
Object Al Rayyan area of Doha E81825 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: Al Rayyan area of Doha | Statement: [Aspire Zone, region, Al Rayyan area of Doha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Rayyan area of Doha
Context triple: [Aspire Zone, region, Al Rayyan area of Doha]
  • A. West Bay, Doha
    West Bay, Doha is a prominent coastal district of Qatar’s capital city, known for its modern skyline, luxury hotels, and commercial and residential high-rises.
  • B. Lusail City
    Lusail City is a modern planned coastal city in Qatar known for its futuristic architecture, large-scale developments, and role as a major venue during the 2022 FIFA World Cup.
  • C. Al Rayyan chosen
    Al Rayyan is a major Qatari city known for its rapid urban development, sports facilities, and proximity to the capital, Doha.
  • D. Al Wakrah
    Al Wakrah is a coastal city in southeastern Qatar known for its historic fishing and pearling heritage and as the site of the modern Al Janoub Stadium.
  • E. Doha Corniche
    Doha Corniche is a prominent waterfront promenade in Doha, Qatar, known for its scenic views of the city skyline and the bay, and as a popular spot for leisure and cultural landmarks.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce694788190881d1feac5b75720 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7268b09808190b4ffd1db72e1f1f1 completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:33 p.m.