Triple

T15698585
Position Surface form Disambiguated ID Type / Status
Subject Mirpur Khas railway station E380532 entity
Predicate connectsTo P845 FINISHED
Object Hyderabad E119141 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: Hyderabad | Statement: [Mirpur Khas railway station, connectsTo, Hyderabad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hyderabad
Context triple: [Mirpur Khas railway station, connectsTo, Hyderabad]
  • A. Hyderabad
    Hyderabad is a major city in southern India known for its historic Charminar monument, rich Hyderabadi cuisine, and growing technology industry.
  • B. Hyderabad chosen
    Hyderabad is a major city in the Sindh province of Pakistan, known for its historical significance, vibrant culture, and role as an important commercial and industrial center.
  • C. Secunderabad
    Secunderabad is a major twin city of Hyderabad in the Indian state of Telangana, known as an important commercial and transportation hub with a significant military presence.
  • D. Vijayawada
    Vijayawada is a major commercial and cultural city in the Indian state of Andhra Pradesh, known as a key transportation hub and an important center for trade, education, and politics in the region.
  • E. Hyderabad Metropolitan Region
    The Hyderabad Metropolitan Region is a large urban agglomeration in and around Hyderabad, India, encompassing major residential, commercial, and technology hubs under a unified metropolitan planning and governance framework.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6c3328819081325b702ca92862 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f372f7c8190ba04b8bd13bff95c completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 4:44 a.m.