Triple

T5839443
Position Surface form Disambiguated ID Type / Status
Subject Gorges du Fier E129554 entity
Predicate watercourse P415 FINISHED
Object Fier E269839 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 | Statement: [Gorges du Fier, watercourse, Fier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fier
Context triple: [Gorges du Fier, watercourse, Fier]
  • A. Fier chosen
    Fier is a river in southeastern France that serves as the main outflow of Lake Annecy and a tributary of the Rhône.
  • B. Fier
    Fier is a city in southwestern Albania that serves as an important industrial and administrative center near the ancient site of Apollonia.
  • C. Fiura
    Fiura is a malevolent female spirit from Chilote mythology, known for her grotesque appearance and for causing illness, misfortune, and enchantments to those who encounter her.
  • D. Frentani
    The Frentani were an ancient Italic tribe inhabiting the Adriatic coast of central Italy, known for their interactions and eventual alliance with the Roman Republic.
  • E. Ferro
    Ferro is an alternative name for El Hierro, the smallest and westernmost of Spain’s Canary Islands in the Atlantic Ocean.
  • 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_69c0a19e4ec4819099fa5c6fe9a6a257 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:54 p.m.