Triple

T22859986
Position Surface form Disambiguated ID Type / Status
Subject Trincomalee District E566888 entity
Predicate borderedBy P224 FINISHED
Object Ampara District 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: Ampara District | Statement: [Trincomalee District, borderedBy, Ampara District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ampara District
Context triple: [Trincomalee District, borderedBy, Ampara District]
  • A. Ampara District chosen
    Ampara District is an administrative district in southeastern Sri Lanka known for its agriculture, coastal areas, and ethnically diverse population.
  • B. Rancabali District
    Rancabali District is a highland administrative area in West Java, Indonesia, known for its tea plantations, cool climate, and natural tourist attractions.
  • C. Ubinas District
    Ubinas District is an administrative district in southern Peru’s Moquegua Region, known for encompassing the active Ubinas volcano and surrounding highland communities.
  • D. Phachi District
    Phachi District is an administrative district (amphoe) in central Thailand known for its role as a railway junction area within Ayutthaya Province.
  • E. Ilala District
    Ilala District is a central administrative and commercial district of Dar es Salaam, Tanzania, encompassing much of the city’s historic core and major markets.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17ec082c08190943e6cfc2e25c5cc completed April 29, 2026, 3:45 a.m.
Created at: April 17, 2026, 3:37 p.m.