Triple

T14801745
Position Surface form Disambiguated ID Type / Status
Subject Kozhikode railway station E347924 entity
Predicate connectsTo P845 FINISHED
Object Kannur E137014 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: Kannur | Statement: [Kozhikode railway station, connectsTo, Kannur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kannur
Context triple: [Kozhikode railway station, connectsTo, Kannur]
  • A. Kannur chosen
    Kannur is a historic coastal city in the Indian state of Kerala, known for its role in maritime trade, colonial-era forts, and rich Theyyam ritual art traditions.
  • B. Kozhikode
    Kozhikode is a major coastal city in southern India historically known as Calicut, famed as a key medieval trading port and the landing place of Portuguese explorer Vasco da Gama.
  • C. Kollam
    Kollam is a historic coastal city in the southern Indian state of Kerala, known for its cashew processing industry, ancient trading port, and scenic Ashtamudi Lake backwaters.
  • D. Kannur district
    Kannur district is a coastal district in the northern part of Kerala, India, known for its historic trade links, Theyyam ritual art, and scenic beaches.
  • E. Kottayam
    Kottayam is a prominent town in the Indian state of Kerala known as a major center of Syrian Christian heritage, education, and publishing.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf30d044819082ac038e06481aab completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9685aa5c8190b4e4d82af80f36f8 completed May 9, 2026, 2:05 a.m.
Created at: April 10, 2026, 1:31 a.m.