Triple

T17261002
Position Surface form Disambiguated ID Type / Status
Subject Mevania E419008 entity
Predicate modernName P1213 FINISHED
Object Bevagna E497693 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: Bevagna | Statement: [Mevania, modernName, Bevagna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bevagna
Context triple: [Mevania, modernName, Bevagna]
  • A. Bevagna chosen
    Bevagna is a historic medieval town in central Italy’s Umbria region, known for its well-preserved Roman and medieval architecture and traditional festivals.
  • B. Bussolengo
    Bussolengo is a town and comune in the Veneto region of northern Italy, situated near Verona and known for its agricultural activities and proximity to Lake Garda.
  • C. Tavagnacco
    Tavagnacco is a municipality in the Friuli-Venezia Giulia region of northeastern Italy, near Udine.
  • D. Albignasego
    Albignasego is a municipality in the Veneto region of northern Italy, situated just south of the city of Padua.
  • E. Grignone
    Grignone is the higher, more prominent summit of the Grigna massif in the Lombardy region of northern Italy, popular with hikers and climbers for its panoramic Alpine views.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e70b00c8190b0380be08afae18d completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0171041f2c81909bf52025d68912fc completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.