Triple

T8933825
Position Surface form Disambiguated ID Type / Status
Subject Lone Stars E212724 entity
Predicate confederation P3193 FINISHED
Object CAF E427538 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: CAF | Statement: [Lone Stars, confederation, CAF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CAF
Context triple: [Lone Stars, confederation, CAF]
  • A. CAF
    CAF is a Spanish multinational company that designs and manufactures railway vehicles and related transport equipment used by metro systems worldwide.
  • B. CAF
    CAF is an abbreviation that can refer to various organizations or groups, most notably the Cactus Air Force, a World War II Allied air unit based on Guadalcanal.
  • C. CAF
    CAF is the commonly used abbreviation for the Chief of Air Force, the professional head of an air force service.
  • D. CAF chosen
    CAF is a multilateral development bank that finances sustainable development and regional integration projects across Latin America and the Caribbean.
  • E. CAF
    CAF is an abbreviation for the Federation of Rhodesia and Nyasaland, a former semi-independent colonial federation in south-central Africa that existed from 1953 to 1963 under British rule.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc668fa87c8190bfeda820368b89e4 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1d965cc8190bad0a990df318698 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:57 p.m.