Triple

T7078608
Position Surface form Disambiguated ID Type / Status
Subject Tosk region E164886 entity
Predicate hasCity P316 FINISHED
Object Fier E475801 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: [Tosk region, hasCity, Fier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fier
Context triple: [Tosk region, hasCity, Fier]
  • A. Fier chosen
    Fier is a city in southwestern Albania that serves as an important industrial and administrative center near the ancient site of Apollonia.
  • B. Fier
    Fier is a river in southeastern France that serves as the main outflow of Lake Annecy and a tributary of the Rhône.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ef47d48190b31125d1b57f7bec completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7946dbf048190a6307fefeb1dd6a9 completed March 28, 2026, 8:42 a.m.
Created at: March 27, 2026, 2:40 p.m.