Triple

T9982478
Position Surface form Disambiguated ID Type / Status
Subject United National Party E196486 entity
Predicate hasAbbreviation P43 FINISHED
Object UNP E833972 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: UNP | Statement: [United National Party, hasAbbreviation, UNP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UNP
Context triple: [United National Party, hasAbbreviation, UNP]
  • A. UNP chosen
    UNP is a major center-right political party in Sri Lanka formally known as the United National Party.
  • B. UNP
    UNP is the stock ticker symbol for Union Pacific Corporation, one of the largest freight railroad companies in the United States.
  • C. UNAP
    UNAP is a public university in Peru’s Amazon region known for its focus on tropical ecology, environmental studies, and regional development.
  • D. UNOV
    UNOV is one of the main United Nations headquarters, located in Vienna, Austria, hosting various UN offices and agencies focused on issues such as drugs and crime, outer space affairs, and industrial development.
  • E. UNSP
    UNSP is the abbreviation for Urban Night Sky Place, a designation for locations that preserve and promote naturally dark night skies in or near urban areas.
  • 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_69ca82efbce081908179b4b9c65096eb completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb8bca41081909c04fb77603403b9 completed April 2, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a15f2708190bdc4223d933cec0f completed April 5, 2026, 1:56 p.m.
Created at: March 30, 2026, 8:49 p.m.