Triple

T5839476
Position Surface form Disambiguated ID Type / Status
Subject Gorges du Fier E129554 entity
Predicate hasViewOf P854 FINISHED
Object Fier river E23406 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: Fier river | Statement: [Gorges du Fier, hasViewOf, Fier river]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fier river
Context triple: [Gorges du Fier, hasViewOf, Fier river]
  • A. Fier River chosen
    The Fier River is a significant watercourse in southeastern France that flows through the Alps and joins the Rhône, known for its dramatic gorges and scenic landscapes.
  • B. Strei River
    The Strei River is a significant river in Transylvania, Romania, known for flowing through Hunedoara County and joining the Mureș River.
  • C. Chepelare River
    The Chepelare River is a mountain river in southern Bulgaria that flows through the Rhodope Mountains and past the historic Bachkovo Monastery before joining the Maritsa River.
  • D. Oltu River
    The Oltu River is a tributary waterway in northeastern Turkey that flows through Erzurum Province before joining the Çoruh River.
  • E. Someș River
    The Someș River is a major river in northwestern Romania that flows through cities like Cluj-Napoca and Satu Mare before joining the Tisza River.
  • 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_69c0084af79c81908af128ccc29983d0 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c034a852f88190a5d2c4b24ee17491 completed March 22, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bfce88f88190bbc78ce9c7c3c107 completed March 23, 2026, 4:21 a.m.
Created at: March 22, 2026, 3:54 p.m.