Triple

T16129042
Position Surface form Disambiguated ID Type / Status
Subject George Nares E391344 entity
Predicate hasHonor P11 FINISHED
Object CB E41848 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: CB | Statement: [George Nares, hasHonor, CB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CB
Context triple: [George Nares, hasHonor, CB]
  • A. CB chosen
    CB is the post-nominal abbreviation indicating appointment as a Companion of the Order of the Bath, a British order of chivalry.
  • B. CB
    CB is a UK postcode area covering Cambridge and surrounding parts of Cambridgeshire and nearby regions.
  • C. CB
    CB is the vehicle registration code used on license plates for the German city of Cottbus.
  • D. CB
    CB is a common abbreviation for Code::Blocks, a free, open-source, cross-platform integrated development environment (IDE) primarily used for C, C++, and Fortran programming.
  • E. CB
    CB is the station code used to identify Taveiro railway station in Portugal’s rail network.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e20206a6f08190aa648d2bb11e7878 completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2adf5848190a1dd58bc76dd4ffd completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 5:01 a.m.