Triple

T22934073
Position Surface form Disambiguated ID Type / Status
Subject Pipikoro E569527 entity
Predicate hasNeighboringLanguage P16383 FINISHED
Object Pamona 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: Pamona | Statement: [Pipikoro, hasNeighboringLanguage, Pamona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pamona
Context triple: [Pipikoro, hasNeighboringLanguage, Pamona]
  • A. Pamona chosen
    Pamona is an Austronesian language spoken by the Pamona people of Central Sulawesi, Indonesia.
  • B. Erinna
    Erinna was an ancient Greek poet, traditionally associated with Sappho’s literary circle and known for her fragmentary epic-style poetry.
  • C. Clorinda
    Clorinda is a heroic warrior woman in Torquato Tasso’s epic poem "Gerusalemme liberata," renowned for her valor, tragic fate, and complex relationship with the Christian knight Tancredi.
  • D. Clorinda
    Clorinda is a border city in northeastern Argentina’s Formosa Province, located opposite Asunción, Paraguay, and serving as an important regional commercial and transport hub.
  • E. Marisus
    Marisus is the historical Latin name for the Mureș River, a major waterway flowing through present-day Romania and Hungary.
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18134484c8190b7311606c17d058d completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.