Triple

T19205746
Position Surface form Disambiguated ID Type / Status
Subject Dwarka railway station E480226 entity
Predicate connectsTo P845 FINISHED
Object Bangalore 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: Bangalore | Statement: [Dwarka railway station, connectsTo, Bangalore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangalore
Context triple: [Dwarka railway station, connectsTo, Bangalore]
  • A. Bengaluru chosen
    Bengaluru is a major Indian metropolis known as the country’s leading technology and innovation hub, often called the “Silicon Valley of India.”
  • B. Bengaluru Metropolitan Region
    Bengaluru Metropolitan Region is the large urban agglomeration centered on Bengaluru city in Karnataka, India, encompassing its surrounding suburbs, satellite towns, and industrial areas under a unified planning and development framework.
  • C. Indiranagar
    Indiranagar is a prominent residential and commercial neighborhood in eastern Bengaluru, known for its upscale eateries, pubs, and shopping streets.
  • D. Mambai
    Mambai is an Austronesian language spoken primarily in East Timor, where it is one of the country’s major indigenous languages.
  • E. Hyderabad
    Hyderabad is a major city in southern India known for its historic Charminar monument, rich Hyderabadi cuisine, and growing technology industry.
  • 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_69d8e8cb8c348190b52075823911c869 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5f99cc39c81909499b8d0b78b4665 completed April 20, 2026, 10:02 a.m.
Created at: April 10, 2026, 1:18 p.m.