Triple

T13023079
Position Surface form Disambiguated ID Type / Status
Subject Marie Henriette of Austria E326225 entity
Predicate birthPlace P1 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: [Marie Henriette of Austria, birthPlace, Buda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buda
Context triple: [Marie Henriette of Austria, birthPlace, 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. Buda
    Buda is a small but rapidly growing city in Central Texas, located just south of Austin and known for its historic downtown and community events.
  • C. Bud’da
    Bud’da is an American hip-hop record producer known for his work with prominent rap artists in the late 1990s and early 2000s.
  • D. Buda Bari
    Buda Bari is one of the historic city gates of Harar Jugol, the fortified old town of Harar in eastern Ethiopia.
  • E. Bodhi
    Bodhi is the charismatic, thrill-seeking surfer and bank robber who serves as the philosophical antagonist to FBI agent Johnny Utah in the film "Point Break."
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ed05e9c8190a4f208662bca0602 completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11c1f6c8190be1c570a7e44a313 completed May 3, 2026, 3:29 a.m.
Created at: April 9, 2026, 8:52 p.m.