Triple

T6385088
Position Surface form Disambiguated ID Type / Status
Subject SV E143679 entity
Predicate shortName P43 FINISHED
Object SV E9640 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: SV | Statement: [SV, shortName, SV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SV
Context triple: [SV, shortName, SV]
  • A. SV chosen
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • B. SV
    SV is the commonly used abbreviation for the Faculty of Social Sciences at the University of Oslo, encompassing disciplines such as sociology, political science, economics, and related fields.
  • C. SV
    SV is a Norwegian democratic socialist and environmentalist political party known for its left-wing stance on social justice, welfare, and climate policy.
  • D. SV
    SV is the official abbreviation for the Slovenian Armed Forces, the military organization responsible for defending the Republic of Slovenia.
  • E. SR
    SR is the two-letter ISO 3166-1 alpha-2 country code assigned to Suriname.
  • 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_69c008dac1ec81909cef8157ccd69962 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0686764648190864163d390db292d completed March 22, 2026, 10:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c638791ce8819081aeec3b11e1c96e completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:34 p.m.