Triple

T4677895
Position Surface form Disambiguated ID Type / Status
Subject Central Province of Sri Lanka E103725 entity
Predicate containsCity P294 FINISHED
Object Matale E318353 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: Matale | Statement: [Central Province of Sri Lanka, containsCity, Matale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matale
Context triple: [Central Province of Sri Lanka, containsCity, Matale]
  • A. Matale chosen
    Matale is a central Sri Lankan town known for its spice gardens, historical temples, and role in the island’s hill-country region.
  • B. Sibaté
    Sibaté is a municipality in central Colombia known for its agricultural production and proximity to Bogotá within the Cundinamarca Department.
  • C. Gurabo
    Gurabo is a municipality in eastern Puerto Rico known for its suburban character, scenic hills, and integration into the greater San Juan metropolitan region.
  • D. Talca
    Talca is a major city in central Chile known as an administrative, commercial, and agricultural hub in the Maule Valley.
  • E. Panguipulli
    Panguipulli is a scenic town in southern Chile known for its lakeside setting, surrounding volcanoes, and role as a gateway to the Andean lake district.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63698a548190831863adddd32f31 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03a0d5c88190a9b40e1ca7d165ff completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.