Triple

T16582943
Position Surface form Disambiguated ID Type / Status
Subject Galle District E402880 entity
Predicate contains P35 FINISHED
Object Ambalangoda E348318 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: Ambalangoda | Statement: [Galle District, contains, Ambalangoda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambalangoda
Context triple: [Galle District, contains, 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. Peliyagoda
    Peliyagoda is a suburban town in Sri Lanka located just northeast of Colombo, known for its transport links and commercial activity.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35999088c8190900497f18728bd0b completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a007da6d6f08190a8524b1c955b7c2e completed May 10, 2026, 12:44 p.m.
Created at: April 10, 2026, 5:16 a.m.