Triple

T16129043
Position Surface form Disambiguated ID Type / Status
Subject George Nares E391344 entity
Predicate hasHonor P11 FINISHED
Object KCB E41846 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: KCB | Statement: [George Nares, hasHonor, KCB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KCB
Context triple: [George Nares, hasHonor, KCB]
  • A. KCB chosen
    KCB is the post-nominal abbreviation for Knight Commander of the Order of the Bath, a senior British order of chivalry.
  • B. KCB
    KCB is a British honorific post-nominal title signifying appointment as a Knight Companion of the Order of the Bath, one of the United Kingdom’s senior orders of chivalry.
  • C. KVB
    KVB is the station code assigned to Wuppertal-Barmen railway station in Germany’s rail network.
  • D. KVB
    KVB is a French train protection and automatic speed control system used to enhance the safety of railway operations.
  • E. CBK
    CBK is the Central Bank of Kenya, the national monetary authority responsible for issuing currency and formulating and implementing the country’s monetary policy.
  • 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.