Triple

T2212478
Position Surface form Disambiguated ID Type / Status
Subject Kollaa front E50948 entity
Predicate namedAfter P63 FINISHED
Object Kollaa River E80101 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: Kollaa River | Statement: [Kollaa front, namedAfter, Kollaa River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kollaa River
Context triple: [Kollaa front, namedAfter, Kollaa River]
  • A. Kollaa River chosen
    Kollaa River is a waterway in eastern Finland that became historically significant as the site of intense fighting during the Winter War between Finland and the Soviet Union.
  • B. Korang River
    Korang River is a stream in Pakistan that serves as a primary inflow to Rawal Lake near Islamabad.
  • C. Ruak River
    The Ruak River is a tributary of the Mekong in Southeast Asia that forms part of the natural boundary between Thailand and Myanmar in the Golden Triangle region.
  • D. Nyari River
    The Nyari River is a regional river in the Indian state of Gujarat that flows through and helps sustain the city of Rajkot.
  • E. Mutirikwi River
    Mutirikwi River is a river in southeastern Zimbabwe that flows near the ancient stone city of Great Zimbabwe and feeds Lake Mutirikwi.
  • 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_69a88b06709c8190978fb2418470d1b6 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfecea6c8190b762bbfda8490e31 completed March 7, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6130aaa7081908956e2db62005b92 completed March 15, 2026, 2:01 a.m.
Created at: March 4, 2026, 7:46 p.m.