Triple

T18826663
Position Surface form Disambiguated ID Type / Status
Subject Knuckles Mountain Range E460403 entity
Predicate nearbyTown P3883 FINISHED
Object Matale 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: Matale | Statement: [Knuckles Mountain Range, nearbyTown, Matale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matale
Context triple: [Knuckles Mountain Range, nearbyTown, 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. Sutatausa
    Sutatausa is a small municipality in Colombia’s Cundinamarca Department, known for its colonial heritage and scenic Andean landscapes.
  • E. Samaniego
    Samaniego is a surname of Spanish origin borne by various notable individuals, including figures in the arts, sports, and public life.
  • 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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6bec7b08190b040ec8b3693f037 completed April 20, 2026, 4:08 a.m.
Created at: April 10, 2026, 11:56 a.m.