Triple

T13480255
Position Surface form Disambiguated ID Type / Status
Subject Matale E318353 entity
Predicate isDistrictCapitalOf P15001 FINISHED
Object Matale District E463230 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 District | Statement: [Matale, isDistrictCapitalOf, Matale District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matale District
Context triple: [Matale, isDistrictCapitalOf, Matale District]
  • A. Matale District chosen
    Matale District is an administrative district in central Sri Lanka known for its spice plantations, historical sites, and mountainous landscapes.
  • B. Petauke District
    Petauke District is an administrative district in Zambia’s Eastern Province, known as an important agricultural area and a key stop along the route between Lusaka and the Malawi border.
  • C. Guarda District
    Guarda District is an inland administrative region in northeastern Portugal known for its mountainous landscapes, historic fortified towns, and proximity to the Douro wine region.
  • D. Mazabuka District
    Mazabuka District is an administrative district in southern Zambia known for its sugarcane production and centered around the town of Mazabuka.
  • E. Banda District
    Banda District is an administrative district in the southern part of Uttar Pradesh, India, known for its agricultural economy and location in the Bundelkhand region.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf36c6b08190ba99400600e0b662 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d8c942481909858e340944ed57c completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:42 p.m.