Triple

T11948952
Position Surface form Disambiguated ID Type / Status
Subject PCC.II E284377 entity
Predicate parentBody P7724 FINISHED
Object CITEL E58578 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: CITEL | Statement: [PCC.II, parentBody, CITEL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CITEL
Context triple: [PCC.II, parentBody, CITEL]
  • A. CITEL chosen
    CITEL is the Inter-American Telecommunication Commission, a specialized body of the Organization of American States that promotes the development and coordination of telecommunications and information and communication technologies across the Americas.
  • B. CITMA
    CITMA is Cuba’s government ministry responsible for overseeing national policy and regulation in science, technology, and environmental protection.
  • C. CICTE
    CICTE is the Inter-American Committee against Terrorism, a specialized body of the Organization of American States focused on coordinating and strengthening regional efforts to prevent and combat terrorism in the Americas.
  • D. ECIT
    ECIT is a research institute focused on advancing electronics, communications, and information technology.
  • E. CIT
    CIT is the commonly used acronym for the Center for Information Technology, an organization focused on advancing computing and information systems.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90346825c8190ab4482a1fc8eed56 completed April 10, 2026, 2:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458e003a0819082d052fd0bb88d8b completed May 1, 2026, 7:40 a.m.
Created at: April 8, 2026, 9:45 p.m.