Triple

T19659996
Position Surface form Disambiguated ID Type / Status
Subject Shahdara district E472054 entity
Predicate hasNeighbourhood P4813 FINISHED
Object Jhilmil 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: Jhilmil | Statement: [Shahdara district, hasNeighbourhood, Jhilmil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jhilmil
Context triple: [Shahdara district, hasNeighbourhood, Jhilmil]
  • A. Jhilmil chosen
    Jhilmil is a locality in the Shahdara region of Delhi, India, known primarily as a residential and small commercial area.
  • B. Jimalalud
    Jimalalud is a coastal municipality in the province of Negros Oriental in the Philippines, known for its agricultural economy and rural communities.
  • C. Jumgal
    Jumgal is a small town in Kyrgyzstan’s mountainous Naryn Region, serving as a local center for the surrounding rural district.
  • D. Jhirnya
    Jhirnya is a small town in the Khargone district of Madhya Pradesh, India, known primarily as a local administrative and rural market center.
  • E. Jazil
    Jazil was an American Thoroughbred racehorse best known for winning the 2006 Belmont Stakes.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6414993ac8190b6da3702b1924b24 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:45 p.m.