Triple

T18949681
Position Surface form Disambiguated ID Type / Status
Subject International City (Dubai) E463610 entity
Predicate nearbyArea P2064 FINISHED
Object Academic City NE NERFINISHED

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: Academic City | Statement: [International City (Dubai), nearbyArea, Academic City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Academic City
Context triple: [International City (Dubai), nearbyArea, Academic City]
  • A. Academic City chosen
    Academic City is a major educational hub in Dubai known for its concentration of universities, colleges, and training institutes.
  • B. Academic Town
    Academic Town is the English name for Akademgorodok, a renowned Soviet-era science and education center that serves as a major hub for research institutions and universities.
  • C. University City
    University City is a vibrant West Philadelphia neighborhood known for its major universities, research institutions, and cultural diversity.
  • D. University City
    University City is a residential neighborhood within the city of Kenner in Jefferson Parish, Louisiana.
  • E. City of Colleges
    City of Colleges is a nickname for Conway, Arkansas, highlighting its reputation as a regional hub for higher education with multiple colleges and universities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d541ef18819080b2e253dd23835d completed April 20, 2026, 7:26 a.m.
Created at: April 10, 2026, noon