Triple

T12190294
Position Surface form Disambiguated ID Type / Status
Subject Liaquatabad Town E290443 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Nazimabad E296998 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: Nazimabad | Statement: [Liaquatabad Town, hasNeighbourhood, Nazimabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nazimabad
Context triple: [Liaquatabad Town, hasNeighbourhood, Nazimabad]
  • A. Nazimabad chosen
    Nazimabad is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its middle-class population and central location within the city.
  • B. Zakir Nagar
    Zakir Nagar is a densely populated residential and commercial neighborhood in the Okhla area of South Delhi, known for its vibrant markets and predominantly Muslim community.
  • C. North Nazimabad Town
    North Nazimabad Town is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its planned layout and middle-class population.
  • D. Khairatabad
    Khairatabad is a prominent commercial and administrative locality in central Hyderabad, India, known for its major government offices, busy junction, and proximity to key city landmarks.
  • E. Ansari Nagar
    Ansari Nagar is a prominent locality in New Delhi, India, best known for housing the All India Institute of Medical Sciences (AIIMS), one of the country’s leading medical institutions.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c5340248190b79379423f3a3ca1 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8d24508190b0a60ca76d775b1e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.