Triple

T3237566
Position Surface form Disambiguated ID Type / Status
Subject Aspire Tower E67890 entity
Predicate region P40 FINISHED
Object Al Rayyan Municipality 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 Municipality | Statement: [Aspire Tower, region, Al Rayyan Municipality]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Al Rayyan Municipality
Context triple: [Aspire Tower, region, Al Rayyan Municipality]
  • A. Al Shahaniya Municipality
    Al Shahaniya Municipality is an administrative region in western Qatar known for its desert landscapes, camel racing track, and growing residential and industrial developments.
  • B. Al Rayyan chosen
    Al Rayyan is a major Qatari city known for its rapid urban development, sports facilities, and proximity to the capital, Doha.
  • C. 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.
  • D. Luwan District
    Luwan District was a former central district of Shanghai, China, known for its historic architecture, commercial streets, and cultural landmarks on the Puxi side of the city.
  • E. Al Wahat District
    Al Wahat District is an administrative region in northeastern Libya that includes parts of the country’s oil-rich desert areas and key coastal settlements.
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef29bf48190a9aa3a39f0138428 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2774a97c481908be820bc5ddf786d completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.