Triple

T12695276
Position Surface form Disambiguated ID Type / Status
Subject Bharathapuzha E303315 entity
Predicate hasNotableTownOnBank P14082 FINISHED
Object Shoranur E1006617 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: Shoranur | Statement: [Bharathapuzha, hasNotableTownOnBank, Shoranur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shoranur
Context triple: [Bharathapuzha, hasNotableTownOnBank, Shoranur]
  • A. Shoranur chosen
    Shoranur is a town in Kerala, India, known as a key railway junction and cultural center situated along the Bharathapuzha River.
  • B. Kakkanad
    Kakkanad is a rapidly developing suburban region of Kochi in Kerala, India, known as an administrative hub and major IT and industrial center.
  • C. 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.
  • D. Alappuzha
    Alappuzha is a coastal city in the Indian state of Kerala, famed for its backwaters, houseboat cruises, and annual Nehru Trophy boat race.
  • E. Marayoor
    Marayoor is a scenic village in Kerala, India, renowned for its natural sandalwood forests, prehistoric dolmens, and sugarcane farms near the Western Ghats.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96411d87481909127e81755f23964 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8c37eb08190a4c15cb50f84c341 completed May 3, 2026, 2:53 a.m.
Created at: April 9, 2026, 5:22 p.m.