Triple

T14510336
Position Surface form Disambiguated ID Type / Status
Subject The Torch Doha E340378 entity
Predicate near P350 FINISHED
Object Aspire Park E1036864 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 Park | Statement: [The Torch Doha, near, Aspire Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aspire Park
Context triple: [The Torch Doha, near, Aspire Park]
  • A. Aspire Park chosen
    Aspire Park is a large, landscaped public park in Doha, Qatar, known for its green spaces, walking paths, and views of the nearby Aspire Tower.
  • B. Aspire Zone sports complex
    Aspire Zone sports complex is a major sports and recreation hub in Doha, Qatar, featuring world-class stadiums, training facilities, and venues for international sporting events.
  • C. Avalon Park
    Avalon Park is a residential neighborhood on Chicago’s South Side known for its tight-knit community and local parks.
  • D. Topstone Park
    Topstone Park is a natural recreational area in Redding, Connecticut, known for its wooded trails, swimming pond, and outdoor activities.
  • E. Adastra Park
    Adastra Park is a public recreational park and sports ground in the village of Hassocks in West Sussex, England.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e5b7b48190878be271840c265b completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a4660c881908d0cdc27c277ae6b completed May 8, 2026, 5:53 a.m.
Created at: April 10, 2026, 1:21 a.m.