Triple

T6182854
Position Surface form Disambiguated ID Type / Status
Subject Velence E137984 entity
Predicate locatedIn P40 FINISHED
Object Central Transdanubia E21827 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: Central Transdanubia | Statement: [Velence, locatedIn, Central Transdanubia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Transdanubia
Context triple: [Velence, locatedIn, Central Transdanubia]
  • A. Central Transdanubia chosen
    Central Transdanubia is a region in western Hungary that includes historic cities such as Székesfehérvár and lies between the Danube River and Lake Balaton.
  • B. Western Transdanubia
    Western Transdanubia is a region in western Hungary known for its shared border with Austria, diverse landscapes, and historical towns.
  • C. Southern Transdanubia
    Southern Transdanubia is a statistical and geographical region in southwestern Hungary, known for its rolling hills, wine-producing areas, and proximity to the Croatian border.
  • D. Lower Styria
    Lower Styria is a traditional region in northeastern Slovenia known for its historic towns, wine-growing hills, and cultural ties to the broader Styrian area.
  • E. Transdanubia
    Transdanubia is the western region of Hungary lying beyond the Danube River, known for its varied landscapes, historic towns, and role as a major World War II battleground.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06100c2b0819097f287e86f63d590 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c30d28819095d719adc421b02d completed March 23, 2026, 1:36 p.m.
Created at: March 22, 2026, 4:19 p.m.