Triple

T3335892
Position Surface form Disambiguated ID Type / Status
Subject Buda E70138 entity
Predicate hasPart P35 FINISHED
Object Óbuda E349572 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: Óbuda | Statement: [Buda, hasPart, Óbuda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Óbuda
Context triple: [Buda, hasPart, Óbuda]
  • A. Óbuda chosen
    Óbuda is a historic district in present-day Budapest, Hungary, known as one of the city’s oldest inhabited areas and a former independent town before its unification with Buda and Pest.
  • B. Gebal
    Gebal is the ancient name of the Phoenician coastal city later known as Byblos, one of the oldest continuously inhabited cities in the world.
  • C. Nawada
    Nawada is a town and administrative center in eastern India known for being the headquarters of Nawada district in the state of Bihar.
  • D. Gauda
    Gauda was a historic region in eastern India, centered in present-day West Bengal and Bangladesh, that served as an important political and cultural center in early medieval times.
  • E. Kankia
    Kankia is a town and local government area in northern Nigeria, known for its role as an administrative and commercial center within Katsina State.
  • 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_69ad85a24f208190bcf83131bfed3521 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb197bd0481909a5cf7eab386e176 completed March 8, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b32514c2f48190b20b8975c96d32a7 completed March 12, 2026, 8:41 p.m.
Created at: March 8, 2026, 3:12 p.m.