Triple

T19815234
Position Surface form Disambiguated ID Type / Status
Subject NH 65 E476042 entity
Predicate passesThroughCity P416 FINISHED
Object Humnabad NE NERFINISHED

How this triple was built (3 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: Humnabad | Statement: [NH 65, passesThroughCity, Humnabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Humnabad
Context triple: [NH 65, passesThroughCity, Humnabad]
  • A. Brahmanabad
    Brahmanabad was an important early medieval city in the Sindh region (in present-day Pakistan), known as a major political and administrative center that came under Muslim rule during the early Islamic expansions into the Indian subcontinent.
  • B. Nooriabad
    Nooriabad is an industrial town in the Jamshoro District of Sindh, Pakistan, known for its manufacturing zones and proximity to Karachi.
  • C. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • D. Nasirabad
    Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
  • E. Nasirabad
    Nasirabad is a cantonment and town in Rajasthan, India, known for its military presence and proximity to the city of Ajmer.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Humnabad
Target entity description: Humnabad is a town in the Bidar district of Karnataka, India, known as a local commercial and transport hub in the region.
  • A. Brahmanabad
    Brahmanabad was an important early medieval city in the Sindh region (in present-day Pakistan), known as a major political and administrative center that came under Muslim rule during the early Islamic expansions into the Indian subcontinent.
  • B. Nooriabad
    Nooriabad is an industrial town in the Jamshoro District of Sindh, Pakistan, known for its manufacturing zones and proximity to Karachi.
  • C. Nasirabad
    Nasirabad is a town and administrative area located in the Balochistan region of present-day Pakistan.
  • D. Nasirabad
    Nasirabad is a village in the Lower Hunza region of northern Pakistan, known for its mountainous terrain and proximity to the Karakoram Range.
  • E. Nasirabad
    Nasirabad is a cantonment and town in Rajasthan, India, known for its military presence and proximity to the city of Ajmer.
  • F. None of above. chosen

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_69d8e51bc4208190a1c57d8c5d1b15e4 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e654f861248190a633dd8d227d9697 completed April 20, 2026, 4:31 p.m.
Created at: April 10, 2026, 1:50 p.m.