Triple

T13658990
Position Surface form Disambiguated ID Type / Status
Subject Moro E326934 entity
Predicate administrativeCenter P1474 FINISHED
Object Bode Saadu E1052615 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: Bode Saadu | Statement: [Moro, administrativeCenter, Bode Saadu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bode Saadu
Context triple: [Moro, administrativeCenter, Bode Saadu]
  • A. Bode Saadu chosen
    Bode Saadu is a town in Kwara State, Nigeria, serving as an important local administrative and commercial center.
  • B. Dar Baachtar
    Dar Baachtar is a village located in the Koura District of northern Lebanon, known for its rural character within the country's coastal hinterland.
  • C. Budde
    Budde is a surname of German origin borne by various notable individuals across different fields.
  • D. Bahdini
    Bahdini is a Northern Kurdish dialect spoken primarily in parts of Turkey and Iraq.
  • E. Sebkay
    Sebkay was an obscure and possibly short-reigning pharaoh of Egypt’s 13th Dynasty during the Second Intermediate Period.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61f0d808190b1cd2a6ba0d930eb completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794395618819094a7f0ffcf5d3fb6 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:52 p.m.