Triple

T13382072
Position Surface form Disambiguated ID Type / Status
Subject Aspire Zone E319341 entity
Predicate hasPart P35 FINISHED
Object Aspire Park
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.
E1036864 NE FINISHED

How this triple was built (4 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: [Aspire Zone, hasPart, Aspire Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aspire Park
Context triple: [Aspire Zone, hasPart, Aspire Park]
  • A. Avalon Park
    Avalon Park is a residential neighborhood on Chicago’s South Side known for its tight-knit community and local parks.
  • B. Topstone Park
    Topstone Park is a natural recreational area in Redding, Connecticut, known for its wooded trails, swimming pond, and outdoor activities.
  • C. Adastra Park
    Adastra Park is a public recreational park and sports ground in the village of Hassocks in West Sussex, England.
  • D. Drace Park
    Drace Park is a public recreational park located in the suburban city of Town and Country, Missouri.
  • E. Helikon Park
    Helikon Park is a historic public park and popular recreational area in the town of Keszthely, Hungary, known for its landscaped grounds and cultural significance.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aspire Park
Triple: [Aspire Zone, hasPart, Aspire Park]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aspire Park
Target entity description: 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.
  • A. Avalon Park
    Avalon Park is a residential neighborhood on Chicago’s South Side known for its tight-knit community and local parks.
  • B. Topstone Park
    Topstone Park is a natural recreational area in Redding, Connecticut, known for its wooded trails, swimming pond, and outdoor activities.
  • C. Adastra Park
    Adastra Park is a public recreational park and sports ground in the village of Hassocks in West Sussex, England.
  • D. Drace Park
    Drace Park is a public recreational park located in the suburban city of Town and Country, Missouri.
  • E. Helikon Park
    Helikon Park is a historic public park and popular recreational area in the town of Keszthely, Hungary, known for its landscaped grounds and cultural significance.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69f7277a73248190aa59a997d719cab8 completed May 3, 2026, 10:46 a.m.
NED2 Entity disambiguation (via description) batch_69f7281e150081909a92201ceb30b8d6 completed May 3, 2026, 10:49 a.m.
Created at: April 9, 2026, 9:33 p.m.