Triple

T11704080
Position Surface form Disambiguated ID Type / Status
Subject Felvidék E278196 entity
Predicate containsHistoricalRegion P13711 FINISHED
Object Liptó County E411858 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: Liptó County | Statement: [Felvidék, containsHistoricalRegion, Liptó County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liptó County
Context triple: [Felvidék, containsHistoricalRegion, Liptó County]
  • A. Liptó County chosen
    Liptó County was a historic administrative county of the Kingdom of Hungary, located in the northern part of present-day Slovakia and centered around the Liptov region.
  • B. Nyitra County
    Nyitra County was a historic administrative county of the Kingdom of Hungary, located in what is today western Slovakia around the city of Nitra.
  • C. Nógrád County
    Nógrád County is a northern Hungarian administrative region known for its hilly landscapes, historic towns, and portions of the Mátra and Cserhát mountain ranges.
  • D. Somogy County
    Somogy County is an administrative region in southwestern Hungary, known for its rural landscapes and proximity to Lake Balaton.
  • E. Fejér County
    Fejér County is an administrative region in central Hungary known for its historical significance and industrial centers, with Székesfehérvár as its county seat.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49b1080819096593733ee48a187 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f08fd4c09081909ee36de77ca67247 completed April 28, 2026, 10:45 a.m.
Created at: April 8, 2026, 9:40 p.m.