Triple

T987509
Position Surface form Disambiguated ID Type / Status
Subject Hungarian Diet E21311 entity
Predicate location P40 FINISHED
Object Buda E70138 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: Buda | Statement: [Hungarian Diet, location, Buda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buda
Context triple: [Hungarian Diet, location, Buda]
  • A. Buda chosen
    Buda is the historic western part of modern-day Budapest, known for its hilly landscape, medieval castle district, and role as a former capital of the Kingdom of Hungary.
  • B. Buddhi
    Buddhi is a personification of intellect and wisdom in Hindu tradition, revered as one of the spiritual qualities or consorts associated with the deity Ganesha.
  • C. Buddha
    "Buddha" is a biographical and historical study of Siddhartha Gautama by religious historian Karen Armstrong, exploring the life, teachings, and enduring influence of the Buddha.
  • D. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • E. Gondi
    Gondi is a Dravidian language spoken primarily by the Gondi people in central India, especially across parts of Madhya Pradesh, Maharashtra, Chhattisgarh, and neighboring regions.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4a7754c8190a10ba0587bd8323d completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac1ce5c0d48190ab023cec30b2c25a completed March 7, 2026, 12:41 p.m.
Created at: March 1, 2026, 7:41 p.m.