Triple

T1213196
Position Surface form Disambiguated ID Type / Status
Subject Oświęcim E26048 entity
Predicate carPlatesCode P1173 FINISHED
Object KOS
KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
 E138421 NE FINISHED

How this triple was built (4 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: KOS | Statement: [Oświęcim, carPlatesCode, KOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KOS
Context triple: [Oświęcim, carPlatesCode, KOS]
  • A. KO
    KO is the New York Stock Exchange ticker symbol for The Coca-Cola Company, one of the world’s largest and most recognizable beverage corporations.
  • B. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • C. SK
    SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
  • D. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • E. KORD
    KORD is the ICAO airport code for Chicago O'Hare International Airport, one of the busiest and most significant air transport hubs in the United States.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KOS
Triple: [Oświęcim, carPlatesCode, KOS]
Generated description
KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KOS
Target entity description: KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • A. KO
    KO is the New York Stock Exchange ticker symbol for The Coca-Cola Company, one of the world’s largest and most recognizable beverage corporations.
  • B. KS
    KS is the standard two-letter postal abbreviation for the U.S. state of Kansas.
  • C. SK
    SK is the postcode area covering Stockport and surrounding parts of Greater Manchester and nearby counties in North West England.
  • D. KNS
    KNS is the Polish vehicle registration code assigned to the Nowy Sącz area in the Lesser Poland Voivodeship.
  • E. KORD
    KORD is the ICAO airport code for Chicago O'Hare International Airport, one of the busiest and most significant air transport hubs in the United States.
  • F. None of above. chosen

Provenance (5 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf169868819090cfab7e34c40c67 completed March 1, 2026, 10:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f44eaec819080bf479f4b6f7f42 completed March 7, 2026, 7:40 p.m.
NEDg Description generation batch_69ac7f9a55dc819098204d53aac70ef3 completed March 7, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac80c3c6b08190a99119f5661c0157 completed March 7, 2026, 7:47 p.m.
Created at: March 1, 2026, 7:46 p.m.