Triple

T13223075
Position Surface form Disambiguated ID Type / Status
Subject Kudal railway station E314803 entity
Predicate locatedIn P40 FINISHED
Object Kudal E314803 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: Kudal | Statement: [Kudal railway station, locatedIn, Kudal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kudal
Context triple: [Kudal railway station, locatedIn, Kudal]
  • A. Kudal chosen
    Kudal is a town in Maharashtra’s Sindhudurg district, known as a commercial and transport hub in the Konkan region.
  • B. Kundalpur
    Kundalpur is a historically significant Jain pilgrimage site in India, revered as the birthplace of Lord Mahavira.
  • C. Kukanoor
    Kukanoor is a historic village in Karnataka, India, known for its ancient temples and archaeological significance.
  • D. Khandala
    Khandala is a popular hill station in Maharashtra, India, known for its scenic valleys, waterfalls, and trekking spots in the Western Ghats.
  • E. Narmadapuram
    Narmadapuram is a city in the central Indian state of Madhya Pradesh, situated on the banks of the Narmada River and serving as an important regional administrative and cultural center.
  • 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_69d806affc688190a25b6ccc588e9c72 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98cf74d708190a61d8ad938653b06 completed April 10, 2026, 11:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff24be9881908b96f3e72325e55f completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:19 p.m.