Triple

T10443643
Position Surface form Disambiguated ID Type / Status
Subject Warszawska Karta Miejska E246229 entity
Predicate shortName P43 FINISHED
Object WKM
WKM is the abbreviated name for the Warszawska Karta Miejska, Warsaw’s electronic public transport card used for storing and validating tickets.
E864117 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: WKM | Statement: [Warszawska Karta Miejska, shortName, WKM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WKM
Context triple: [Warszawska Karta Miejska, shortName, WKM]
  • A. KMW
    KMW is a German defense manufacturer best known for producing armored vehicles such as the Leopard 2 main battle tank.
  • B. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • C. KMF
    KMF is the ISO 4217 currency code for the Comorian franc, the official monetary unit of the Comoros.
  • D. KWF
    KWF is the acronym for the Komisyon sa Wikang Filipino, the Philippine government agency responsible for developing, preserving, and promoting the Filipino language and other native languages of the Philippines.
  • E. WIMK
    WIMK is the former ICAO airport code once assigned to Polonia International Airport in Indonesia.
  • 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: WKM
Triple: [Warszawska Karta Miejska, shortName, WKM]
Generated description
WKM is the abbreviated name for the Warszawska Karta Miejska, Warsaw’s electronic public transport card used for storing and validating tickets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: WKM
Target entity description: WKM is the abbreviated name for the Warszawska Karta Miejska, Warsaw’s electronic public transport card used for storing and validating tickets.
  • A. KMW
    KMW is a German defense manufacturer best known for producing armored vehicles such as the Leopard 2 main battle tank.
  • B. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • C. KMF
    KMF is the ISO 4217 currency code for the Comorian franc, the official monetary unit of the Comoros.
  • D. KWF
    KWF is the acronym for the Komisyon sa Wikang Filipino, the Philippine government agency responsible for developing, preserving, and promoting the Filipino language and other native languages of the Philippines.
  • E. WIMK
    WIMK is the former ICAO airport code once assigned to Polonia International Airport in Indonesia.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbe5dc48190b4291bfd0fb988eb completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ee0c2208190ae8d51a2a89a2586 completed April 10, 2026, 4:38 a.m.
NEDg Description generation batch_69d886c3fdcc8190a67a7f7788b8a2e8 completed April 10, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69d88dc15ab481909011c5de93bbab14 completed April 10, 2026, 5:42 a.m.
Created at: April 6, 2026, 12:15 p.m.