Triple

T23047957
Position Surface form Disambiguated ID Type / Status
Subject Lake Velence resort area E573928 entity
Predicate centeredAround P1939 FINISHED
Object Velence 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: Velence | Statement: [Lake Velence resort area, centeredAround, Velence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Velence
Context triple: [Lake Velence resort area, centeredAround, Velence]
  • A. Velence chosen
    Velence is a Hungarian town and popular resort destination on the shores of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
  • B. Velence Mountains
    The Velence Mountains are a small volcanic hill range in central Hungary known for their scenic landscapes, hiking trails, and proximity to Lake Velence.
  • C. Kamena Gora
    Kamena Gora is a scenic mountain village and plateau in southwestern Serbia, known for its old-growth pine forests, panoramic views, and traditional rural architecture.
  • D. Vihren
    Vihren is a prominent peak in southwestern Bulgaria’s Pirin range, renowned for its striking marble slopes and popularity among hikers and climbers.
  • E. Bosančica
    Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867a206c81909ff923cbf56f7787 completed April 29, 2026, 4:18 a.m.
Created at: April 17, 2026, 3:54 p.m.