Triple

T2695676
Position Surface form Disambiguated ID Type / Status
Subject Karachi Central District E58505 entity
Predicate containsSettlement P847 FINISHED
Object North Nazimabad E293480 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: North Nazimabad | Statement: [Karachi Central District, containsSettlement, North Nazimabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Nazimabad
Context triple: [Karachi Central District, containsSettlement, North Nazimabad]
  • A. North Nazimabad Town chosen
    North Nazimabad Town is a prominent residential and commercial neighborhood in Karachi, Pakistan, known for its planned layout and middle-class population.
  • B. Faizabad
    Faizabad is a historic city in the Indian state of Uttar Pradesh that once served as the capital of the former princely state of Oudh (Awadh).
  • C. Netaji Nagar
    Netaji Nagar is a small coastal village located on Little Andaman Island in the Andaman and Nicobar Islands of India.
  • D. Bilal Colony
    Bilal Colony is a residential neighborhood located within the Korangi District of Karachi, Pakistan.
  • E. Gulshanabad
    Gulshanabad is the former historical name of the Indian city now known as Nashik in Maharashtra.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda2f7bf88190a1e3103dd014d871 completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbba22348190a3f70439a6b21e1c completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:55 p.m.