Triple

T13680413
Position Surface form Disambiguated ID Type / Status
Subject Orientale Province E327984 entity
Predicate containsCity P294 FINISHED
Object Buta E838538 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: Buta | Statement: [Orientale Province, containsCity, Buta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buta
Context triple: [Orientale Province, containsCity, Buta]
  • A. Buta chosen
    Buta is a town in the northern Democratic Republic of the Congo that serves as an administrative and commercial center in the Aruwimi River region.
  • B. Boso
    Boso is the fictional dialogue partner and student of Anselm of Canterbury in the theological treatise "Cur Deus Homo," representing the questioning layperson in discussions about the Incarnation and Atonement.
  • C. Baberu
    Baberu is a town and administrative center located in the Banda district of Uttar Pradesh, India.
  • D. Ushi
    Ushi is the affectionate nickname of Japanese professional football club Vissel Kobe, reflecting its local identity and fan culture.
  • E. Saru
    Saru is a Kelpien Starfleet officer in Star Trek: Discovery, known for his cautious nature, strong moral compass, and eventual rise to command.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66cbb088190907cb89dda8e4ebd completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7944347a08190bc1386e78ddb3e71 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:53 p.m.