Triple

T13745034
Position Surface form Disambiguated ID Type / Status
Subject P$C E330189 entity
Predicate hasMember P10 FINISHED
Object AK E73029 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: AK | Statement: [P$C, hasMember, AK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AK
Context triple: [P$C, hasMember, AK]
  • A. AK chosen
    AK is the Polish abbreviation for the Home Army, the principal resistance movement in German-occupied Poland during World War II.
  • B. AK
    AK is the depot code used to identify Ardwick railway depot within the UK rail network.
  • C. KA
    KA is a postcode area in the United Kingdom covering parts of southwest Scotland, including towns such as Kilmarnock and Irvine.
  • D. KA
    KA is the vehicle registration code used on license plates for cars registered in the German city of Karlsruhe.
  • E. KA
    KA is the IATA airline designator for Cathay Dragon, a former Hong Kong-based regional carrier owned by Cathay Pacific.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0211ba5481909fbd5b447e3d5a02 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8501890819081152bc2e9c06836 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:08 p.m.