Triple

T1913210
Position Surface form Disambiguated ID Type / Status
Subject Tungabhadra River E38155 entity
Predicate passesNear P416 FINISHED
Object Hospet E182776 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: Hospet | Statement: [Tungabhadra River, passesNear, Hospet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hospet
Context triple: [Tungabhadra River, passesNear, Hospet]
  • A. Hospet chosen
    Hospet is a town in the Vijayanagara district of Karnataka, India, known as a major gateway to the UNESCO World Heritage site of Hampi.
  • B. Haldia
    Haldia is an industrial port city in eastern India known for its petrochemical complexes and role as a major river port on the Hooghly River.
  • C. Risca
    Risca is a town in south Wales situated in the county borough of Caerphilly, near Newport, with a history rooted in coal mining and industry.
  • D. Alvescot
    Alvescot is a small rural village in Oxfordshire, England, known for its traditional stone cottages and historic parish church.
  • E. Alajeró
    Alajeró is a small coastal and rural municipality on the island of La Gomera in Spain’s Canary Islands, known for its rugged landscapes and traditional Canarian character.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1e26b948190aa194c30755ac5df completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3d5972881908856b75b324a1ad2 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.