Triple

T11111759
Position Surface form Disambiguated ID Type / Status
Subject Warsaw public transport network E262772 entity
Predicate includesService P1393 FINISHED
Object WKD
WKD is a suburban light rail system serving Warsaw and its surrounding areas, providing commuter connections between the city and nearby towns.
 E905840 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: WKD | Statement: [Warsaw public transport network, includesService, WKD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: WKD
Context triple: [Warsaw public transport network, includesService, WKD]
  • A. WCKD
    WCKD is the powerful, morally ambiguous scientific organization in *The Maze Runner* series that conducts brutal experiments on youths in a post-apocalyptic world under the guise of saving humanity.
  • B. UWKD
    UWKD is the ICAO airport code for Kazan International Airport in Kazan, Russia.
  • C. WK
    WK is the IATA airline designator assigned to Edelweiss Air, a Swiss leisure airline based in Zurich.
  • D. KWSWK
    KWSWK is the UN/LOCODE identifier for the Port of Shuwaikh in Kuwait, used in international shipping and logistics.
  • E. NKWD
    NKWD was the Soviet Union’s notorious secret police and security agency, responsible for political repression, intelligence, and internal security, particularly during Stalin’s rule.
  • 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: WKD
Triple: [Warsaw public transport network, includesService, WKD]
Generated description
WKD is a suburban light rail system serving Warsaw and its surrounding areas, providing commuter connections between the city and nearby towns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: WKD
Target entity description: WKD is a suburban light rail system serving Warsaw and its surrounding areas, providing commuter connections between the city and nearby towns.
  • A. WCKD
    WCKD is the powerful, morally ambiguous scientific organization in *The Maze Runner* series that conducts brutal experiments on youths in a post-apocalyptic world under the guise of saving humanity.
  • B. UWKD
    UWKD is the ICAO airport code for Kazan International Airport in Kazan, Russia.
  • C. WK
    WK is the IATA airline designator assigned to Edelweiss Air, a Swiss leisure airline based in Zurich.
  • D. KWSWK
    KWSWK is the UN/LOCODE identifier for the Port of Shuwaikh in Kuwait, used in international shipping and logistics.
  • E. NKWD
    NKWD was the Soviet Union’s notorious secret police and security agency, responsible for political repression, intelligence, and internal security, particularly during Stalin’s rule.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa42ec4819085a2e802e00d9f02 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d759bc88190b670c373f3647a41 completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e4307baca48190bbf82f8235d7e2c7 completed April 19, 2026, 1:31 a.m.
NED2 Entity disambiguation (via description) batch_69e43771eaec8190be9bb709723931e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:27 p.m.