Triple

T22098871
Position Surface form Disambiguated ID Type / Status
Subject Cagayan de Oro E546113 entity
Predicate hasNickname P39 FINISHED
Object CdeO NE NERFINISHED

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: CdeO | Statement: [Cagayan de Oro, hasNickname, CdeO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CdeO
Context triple: [Cagayan de Oro, hasNickname, CdeO]
  • A. CdeO chosen
    CdeO is a shortened nickname for Cagayan de Oro, a major urban center and gateway city in Northern Mindanao, Philippines.
  • B. CDE
    CDE (Common Desktop Environment) is a classic Unix desktop environment providing a graphical user interface with a consistent look and feel across multiple Unix systems.
  • C. CDE
    CDE is the standard abbreviation for a Community Development Entity, a specialized organization that channels investment into low-income or underserved communities.
  • D. CDE
    CDE is the abbreviated designation for the French Space Command, the military organization responsible for France’s space operations and defense in outer space.
  • E. CDE
    CDE is the California state agency responsible for overseeing public education, including K–12 schools and various educational programs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129131b4c8190b443bc820d9b5c61 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.