Triple

T3237529
Position Surface form Disambiguated ID Type / Status
Subject Aspire Tower E67890 entity
Predicate locatedIn P40 FINISHED
Object Aspire Zone E319341 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: Aspire Zone | Statement: [Aspire Tower, locatedIn, Aspire Zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aspire Zone
Context triple: [Aspire Tower, locatedIn, Aspire Zone]
  • A. Aspire Zone chosen
    Aspire Zone is a major sports complex and development area in Doha, Qatar, known for its world-class stadiums, training facilities, and sports science centers.
  • B. Aspire Tower
    Aspire Tower is a prominent skyscraper and hotel in Doha, Qatar, known for its torch-like design and role as a symbol of the 2006 Asian Games.
  • C. J-Air
    J-Air is a Japanese regional airline operating domestic feeder and short-haul routes on behalf of Japan Airlines.
  • D. Trizone
    Trizone was the informal name for the combined American, British, and French occupation zones in post-World War II Germany that later formed the Federal Republic of Germany (West Germany).
  • E. Efficeon
    Efficeon is a family of low-power, x86-compatible microprocessors developed by Transmeta as the successor to its Crusoe line, aimed primarily at mobile and embedded computing devices.
  • 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.