Triple

T6245384
Position Surface form Disambiguated ID Type / Status
Subject Velence Hills Landscape Protection Area E139707 entity
Predicate nearbySettlement P350 FINISHED
Object Velence E137984 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: Velence | Statement: [Velence Hills Landscape Protection Area, nearbySettlement, Velence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Velence
Context triple: [Velence Hills Landscape Protection Area, nearbySettlement, 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. Vihren
    Vihren is a prominent peak in southwestern Bulgaria’s Pirin range, renowned for its striking marble slopes and popularity among hikers and climbers.
  • D. Baška
    Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
  • E. Berounka
    Berounka is a major river in western Bohemia in the Czech Republic, known for flowing through the Plzeň Region and eventually joining the Vltava near Prague.
  • 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_69c008b1c5088190ae6de2555fc05ad8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0631c63d48190a41ec1232aecb373 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5191599d0819098a1b20b9d680f4b completed March 26, 2026, 11:31 a.m.
Created at: March 22, 2026, 4:23 p.m.