Triple

T9950281
Position Surface form Disambiguated ID Type / Status
Subject Mahbubnagar railway station E195311 entity
Predicate connectsTo P845 FINISHED
Object Kurnool E201854 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: Kurnool | Statement: [Mahbubnagar railway station, connectsTo, Kurnool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurnool
Context triple: [Mahbubnagar railway station, connectsTo, Kurnool]
  • A. Kurnool chosen
    Kurnool is a prominent city in the Indian state of Andhra Pradesh, known historically as a former capital and a key commercial and educational center in the region.
  • B. Nellore
    Nellore is a prominent coastal city in southeastern India known for its agriculture, aquaculture, and role as an administrative and commercial center in Andhra Pradesh.
  • C. Guntakal
    Guntakal is a major railway junction town in Andhra Pradesh, India, serving as an important transit hub on several key rail routes in southern India.
  • D. Rajahmundry
    Rajahmundry is a historic city in the Indian state of Andhra Pradesh, known as a major cultural and commercial center in the Godavari region.
  • E. Guntur
    Guntur is a major city in the Indian state of Andhra Pradesh, known historically as an important administrative and commercial center in southeastern India.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb65b83ac8190af6bd8c918ffb69f completed April 2, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dbe24a64819098bc94a8a62cc46b completed April 10, 2026, 11:15 a.m.
Created at: March 30, 2026, 8:45 p.m.