Triple

T14569566
Position Surface form Disambiguated ID Type / Status
Subject Wolbrom E341873 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object KOL
KOL is the vehicle registration code assigned to the town of Wolbrom in Poland.
 E1106882 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: KOL | Statement: [Wolbrom, vehicleRegistrationCode, KOL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: KOL
Context triple: [Wolbrom, vehicleRegistrationCode, KOL]
  • A. KOLM
    KOLM is the ICAO airport code for Olympia Regional Airport, a public airport serving Olympia in Washington State, USA.
  • B. KOC
    KOC is the abbreviation for the National Olympic Committee of Kosovo, the body responsible for organizing and overseeing Kosovo’s participation in the Olympic Games.
  • C. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • D. KOS
    KOS is the three-letter International Olympic Committee country code representing Kosovo in Olympic competitions.
  • E. Kollegal
    Kollegal is a town in Karnataka, India, known as a gateway to the scenic Shivanasamudra Falls and the surrounding forested hills.
  • 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: KOL
Triple: [Wolbrom, vehicleRegistrationCode, KOL]
Generated description
KOL is the vehicle registration code assigned to the town of Wolbrom in Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: KOL
Target entity description: KOL is the vehicle registration code assigned to the town of Wolbrom in Poland.
  • A. KOLM
    KOLM is the ICAO airport code for Olympia Regional Airport, a public airport serving Olympia in Washington State, USA.
  • B. KOC
    KOC is the abbreviation for the National Olympic Committee of Kosovo, the body responsible for organizing and overseeing Kosovo’s participation in the Olympic Games.
  • C. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • D. KOS
    KOS is the three-letter International Olympic Committee country code representing Kosovo in Olympic competitions.
  • E. Kollegal
    Kollegal is a town in Karnataka, India, known as a gateway to the scenic Shivanasamudra Falls and the surrounding forested hills.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f2121481908f2385637944785d completed April 14, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac858108190b7c90130f18b0ddb completed May 8, 2026, 7:03 a.m.
NEDg Description generation batch_69fd8c3678048190a23b509e963c1ade completed May 8, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_69fd8d609684819090a9c3f2304f4a6a completed May 8, 2026, 7:14 a.m.
Created at: April 10, 2026, 1:23 a.m.