Triple

T19279258
Position Surface form Disambiguated ID Type / Status
Subject North West Delhi district E482142 entity
Predicate hasSettlement P1068 FINISHED
Object Kanjhawala 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: Kanjhawala | Statement: [North West Delhi district, hasSettlement, Kanjhawala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanjhawala
Context triple: [North West Delhi district, hasSettlement, Kanjhawala]
  • A. Kanjhawala chosen
    Kanjhawala is a locality in Delhi, India, known primarily as an administrative center within the North West Delhi district.
  • B. Khadakwasla
    Khadakwasla is a suburban area near Pune in Maharashtra, India, known for its lake, dam, and military establishments.
  • C. Kotkapura
    Kotkapura is a historic town and commercial center in the Faridkot district of Punjab, India, known for its textile and agricultural markets.
  • D. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • E. Ghangaria
    Ghangaria is a small Himalayan village in Uttarakhand, India, that serves as the base camp for pilgrims to Hemkunt Sahib and trekkers to the Valley of Flowers.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbbf817c819098745ed365cda4a9 completed April 20, 2026, 10:11 a.m.
Created at: April 10, 2026, 1:30 p.m.