Triple

T8187155
Position Surface form Disambiguated ID Type / Status
Subject Central Delhi E191213 entity
Predicate contains P35 FINISHED
Object Paharganj E450845 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: Paharganj | Statement: [Central Delhi, contains, Paharganj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paharganj
Context triple: [Central Delhi, contains, Paharganj]
  • A. Paharganj chosen
    Paharganj is a densely populated, budget-friendly neighborhood in central Delhi known for its bustling markets, cheap hotels, and popularity among backpackers.
  • B. Phagwara
    Phagwara is a prominent industrial and commercial city in the Indian state of Punjab, known for its textile and agricultural machinery industries and its location on the major highway between Ludhiana and Jalandhar.
  • C. Chenab Nagar
    Chenab Nagar is a town in Pakistan’s Punjab province known as the headquarters of the Ahmadiyya Muslim Community and formerly called Rabwah.
  • D. Barwala
    Barwala is a prominent town in the Hisar district of Haryana, India, known as a local commercial and administrative center for surrounding rural areas.
  • E. Nagaur
    Nagaur is a historic city in Rajasthan, India, known for its medieval fort, cultural heritage, and role as an important center in the Marwar region.
  • 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_69ca82c5b6948190a583c096fb0a6c71 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4d9e01208190842170abf62d9afb completed March 31, 2026, 4:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cced7a109c819092d43d9e3cfc0706 completed April 1, 2026, 10:03 a.m.
Created at: March 30, 2026, 5:41 p.m.