Triple

T13475448
Position Surface form Disambiguated ID Type / Status
Subject KNB E318237 entity
Predicate abbreviation P43 FINISHED
Object KNB E318237 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: KNB | Statement: [KNB, abbreviation, KNB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KNB
Context triple: [KNB, abbreviation, KNB]
  • A. KNB chosen
    KNB is the abbreviation for Khazanah Nasional, Malaysia’s sovereign wealth fund and strategic investment arm of the government.
  • B. Kbn
    Kbn is the ancient Egyptian name for the coastal city-state of Byblos, a major Phoenician trading center on the Mediterranean.
  • C. KBN
    KBN is the National Rail station code assigned to Kilburn Park station in London.
  • D. KNEBV
    KNEBV is the stock ticker symbol for KONE Corporation, a Finnish company specializing in elevators, escalators, and related services.
  • E. KNO
    KNO is the IATA airport code for Kualanamu International Airport serving Medan and the surrounding region in North Sumatra, Indonesia.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2551b48190a074fd256791742d completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462f94988190a857fa8cd32cdd0a completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.