Triple

T21290035
Position Surface form Disambiguated ID Type / Status
Subject Sarca River E524760 entity
Predicate alsoKnownAs P39 FINISHED
Object Sarca 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: Sarca | Statement: [Sarca River, alsoKnownAs, Sarca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarca
Context triple: [Sarca River, alsoKnownAs, Sarca]
  • A. Sarca chosen
    The Sarca is a river in northern Italy that flows through the Trentino region and ultimately feeds into Lake Garda.
  • B. SARC
    SARC is a leading interdisciplinary research center at Queen’s University Belfast focused on innovation in sound, music technology, and sonic arts.
  • C. SARC
    SARC is the ICAO airport code for Doctor Fernando Piragine Niveyro International Airport in Corrientes, Argentina.
  • D. Sarmast
    Sarmast is an honorific title associated with the renowned Sindhi Sufi poet and mystic Sachal Sarmast.
  • E. SARCO
    SARCO is the SAARC Arbitration Council, a regional institution that facilitates the settlement of commercial and investment disputes among member states of the South Asian Association for Regional Cooperation.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d9467881908ec5b1dec76e6f5d completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.