Triple

T22231079
Position Surface form Disambiguated ID Type / Status
Subject Coastal Line E549466 entity
Predicate connectsTown P845 FINISHED
Object Ambalangoda NE NERFINISHED

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: Ambalangoda | Statement: [Coastal Line, connectsTown, Ambalangoda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambalangoda
Context triple: [Coastal Line, connectsTown, Ambalangoda]
  • A. Ambalangoda chosen
    Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
  • B. Balangoda
    Balangoda is a town in south-central Sri Lanka known for its archaeological significance and as a regional commercial center in the Sabaragamuwa Province.
  • C. Pallamallawa
    Pallamallawa is a small rural village in northern New South Wales, Australia, known for its agricultural surroundings and close-knit community.
  • D. Puttalam
    Puttalam is a coastal town in northwestern Sri Lanka known for its salt industry, lagoon fisheries, and proximity to major wind farms.
  • E. Kandurata
    Kandurata is a Sri Lankan domestic cricket team representing the Central Province in the country’s first-class competitions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf2a26c81908aaf614d7c75e219 completed April 28, 2026, 9:51 p.m.
Created at: April 16, 2026, 8:38 p.m.