Triple

T37782071
Position Surface form Disambiguated ID Type / Status
Subject Ung County E941855 entity
Predicate historicalPoliticalEntityOf P147192 FINISHED
Object Upper Hungary E122840 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: Upper Hungary | Statement: [Ung County, historicalPoliticalEntityOf, Upper Hungary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicalPoliticalEntityOf
Context triple: [Ung County, historicalPoliticalEntityOf, Upper Hungary]
  • A. politicalEntityHistorically
    Indicates that a political entity held a particular status, role, or relationship during a past historical period, but not necessarily in the present.
  • B. historicalEntityType
    Indicates that an entity belongs to a specific historical category or classification, such as a type, role, or function recognized in a historical context.
  • C. politicalEntityAtTime
    Indicates that a political entity exists or holds a particular political status during a specified time period.
  • D. historicalEntityWithin chosen
    Indicates that one historical entity is geographically, administratively, or contextually contained within another historical entity.
  • E. historicalEntityAssociated
    Indicates that one entity has a documented historical connection, relevance, or involvement with another entity.
  • F. None of above.

Provenance (4 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_69f76ee5cb0c81909a363d1c929156c0 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_6a01bb9c33cc8190a95ba124d97edf99 completed May 11, 2026, 11:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a40e08fed3481908567b154f6578561 completed June 28, 2026, 8:51 a.m.
PD Predicate disambiguation batch_6a01bb6772148190a243d1141ad0a237 completed May 11, 2026, 11:20 a.m.
Created at: May 3, 2026, 4:19 p.m.