Triple

T15330977
Position Surface form Disambiguated ID Type / Status
Subject Una E366529 entity
Predicate hasTributary P415 FINISHED
Object Unac E366529 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: Unac | Statement: [Una, hasTributary, Unac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unac
Context triple: [Una, hasTributary, Unac]
  • A. Una
    Una is a small census-designated community located in Spartanburg County, South Carolina.
  • B. Una
    Una is a feminine given name of Latin origin meaning "one" or "unity," used in various cultures and literary works.
  • C. Una chosen
    Una is a river in the Western Balkans, known for its clear turquoise waters and scenic canyons along the border of Bosnia and Herzegovina and Croatia.
  • D. Una
    Una is a town in the Gir Somnath district of Gujarat, India, known as a local commercial and transportation hub near the Saurashtra coast.
  • E. Une
    Une is a municipality located in Oriente Province, known as one of the local administrative divisions within this eastern region.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8b1b2d08190a158bf65535ad750 completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:17 a.m.