Triple

T15925097
Position Surface form Disambiguated ID Type / Status
Subject Skenderaj E386186 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object KS E762288 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: KS | Statement: [Skenderaj, vehicleRegistrationCode, KS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KS
Context triple: [Skenderaj, vehicleRegistrationCode, KS]
  • A. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • B. KS chosen
    KS is the vehicle registration code used on license plates for the German city of Kassel.
  • C. SK
    SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
  • D. SK
    SK is the vehicle registration code used on license plates for vehicles registered in Skopje, the capital city of North Macedonia.
  • E. SK
    SK is the official vehicle registration code assigned to the Indian state of Sikkim.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15685b28c8190927b704fef14a159 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5adcde88190ae2a845aaa9d31ac completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:52 a.m.