Triple

T22688877
Position Surface form Disambiguated ID Type / Status
Subject National Stadium, Karachi E560993 entity
Predicate ends P3587 FINISHED
Object University Road End 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: University Road End | Statement: [National Stadium, Karachi, ends, University Road End]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: University Road End
Context triple: [National Stadium, Karachi, ends, University Road End]
  • A. "University St"
    "University St" is a common abbreviated street name typically referring to a roadway located near or associated with a university campus.
  • B. University Road corridor chosen
    The University Road corridor is a major urban thoroughfare and commercial-educational strip in Karachi, Pakistan, lined with universities, businesses, and dense residential neighborhoods.
  • C. College Road
    College Road is a street in Harrow, London, that serves as a key access route to Harrow-on-the-Hill railway station.
  • D. University Road
    University Road is a major thoroughfare in Belfast, Northern Ireland, known for running through the city’s university quarter and serving institutions such as Queen’s University Belfast.
  • E. University Road
    University Road is a major thoroughfare in Yaba, Lagos, known for serving the area’s educational institutions and commercial activities.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789931148190925ce9038c16413b completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.