Triple

T16280206
Position Surface form Disambiguated ID Type / Status
Subject Šokci E395242 entity
Predicate regionallyConcentratedIn P70368 FINISHED
Object southern Hungary E395238 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: southern Hungary | Statement: [Šokci, regionallyConcentratedIn, southern Hungary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: southern Hungary
Context triple: [Šokci, regionallyConcentratedIn, southern Hungary]
  • A. southern Hungary chosen
    Southern Hungary is a region of Hungary characterized by its location along the southern border with Serbia and Croatia, encompassing parts of the Great Hungarian Plain and several culturally diverse historical areas.
  • B. Southeastern Hungary
    Southeastern Hungary is a largely flat, agricultural region of Hungary known for its rural landscapes, historic towns, and proximity to the Romanian and Serbian borders.
  • C. Southwestern Hungary
    Southwestern Hungary is a geographic region of Hungary bordering Croatia and Slovenia, known for its rolling hills, thermal spas, and historic towns such as Nagykanizsa and Pécs.
  • D. northwestern Hungary
    Northwestern Hungary is a geographic region of Hungary that includes parts of Transdanubia and features industrial cities, historical towns, and proximity to both Austria and Slovakia.
  • E. Northern Hungary
    Northern Hungary is a region of Hungary known for its industrial cities like Miskolc, historic castles, and the Bükk and Mátra mountain ranges.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24611926c81909b276ca3f406f15d completed April 17, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001f93240881909d0beaddc92f0ad5 completed May 10, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:05 a.m.