Triple

T10063645
Position Surface form Disambiguated ID Type / Status
Subject Calicut International Airport E213046 entity
Predicate cityServed P82 FINISHED
Object Malappuram E849400 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: Malappuram | Statement: [Calicut International Airport, cityServed, Malappuram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malappuram
Context triple: [Calicut International Airport, cityServed, Malappuram]
  • A. Malappuram chosen
    Malappuram is a city and district headquarters in the Indian state of Kerala, known for its rich cultural heritage and rapidly growing urban landscape.
  • B. Thrippunithura
    Thrippunithura is a historic suburban town near Kochi in Kerala, India, known for its royal heritage, temples, and classical arts traditions.
  • C. Angamaly
    Angamaly is a town in the Ernakulam district of Kerala, India, known as a major transportation hub and gateway to the nearby Cochin International Airport.
  • D. Ponnani
    Ponnani is a historic coastal town and former trading port in the Malabar region of Kerala, India, known for its cultural and religious significance, especially in Islamic scholarship.
  • E. Alappuzha
    Alappuzha is a coastal city in the Indian state of Kerala, famed for its backwaters, houseboat cruises, and annual Nehru Trophy boat race.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd4e4ac8190a37061b4082caa48 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6a7bbfdb0819080377d3402bcfec3 completed April 8, 2026, 7:08 p.m.
Created at: March 30, 2026, 8:58 p.m.