Triple

T19183445
Position Surface form Disambiguated ID Type / Status
Subject Trenta Valley E469635 entity
Predicate hasSettlement P1068 FINISHED
Object Trenta NE NERFINISHED

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: Trenta | Statement: [Trenta Valley, hasSettlement, Trenta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trenta
Context triple: [Trenta Valley, hasSettlement, Trenta]
  • A. Trenta chosen
    Trenta is a small alpine valley settlement in northwestern Slovenia, known as the scenic source area of the Soča (Isonzo) River within Triglav National Park.
  • B. Fiume
    Fiume is the historical name for the Adriatic port city now known as Rijeka, located in present-day Croatia.
  • C. Fiumana
    Fiumana is a small locality in the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • D. Fiuminata
    Fiuminata is a small municipality in the Marche region of central Italy, known for its mountainous landscape and traditional rural character.
  • E. Riva River
    Riva River is a small river in the Beykoz district of Istanbul, Turkey, known for its scenic natural surroundings and recreational areas along its banks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f61e1c248190ba9e220c1be61ef8 completed April 20, 2026, 9:47 a.m.
Created at: April 10, 2026, 12:07 p.m.