Triple

T15058391
Position Surface form Disambiguated ID Type / Status
Subject Gampaha District E379556 entity
Predicate contains P35 FINISHED
Object Attanagalla E786790 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: Attanagalla | Statement: [Gampaha District, contains, Attanagalla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Attanagalla
Context triple: [Gampaha District, contains, Attanagalla]
  • A. Attanagalla chosen
    Attanagalla is a historically significant electoral division in Sri Lanka long associated with the influential Bandaranaike political family.
  • B. Nagamangala
    Nagamangala is a town in the Indian state of Karnataka known for its temples and role as a local commercial and administrative center.
  • C. Koggala
    Koggala is a coastal town in southern Sri Lanka known for its scenic beach, lagoon, and proximity to the historic city of Galle.
  • D. Bambalapitiya
    Bambalapitiya is a coastal suburb and prominent residential and commercial neighborhood in Colombo, Sri Lanka.
  • E. Puttalam
    Puttalam is a coastal town in northwestern Sri Lanka known for its salt industry, lagoon fisheries, and proximity to major wind farms.
  • 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_69d85cd64d108190853797a95c11cc45 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee50afc8190bf7b0f4bbe8c60a3 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae0fd7dc8190a10c8eb7542c3088 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:01 a.m.