Triple

T15915356
Position Surface form Disambiguated ID Type / Status
Subject Skanstull metro station E385953 entity
Predicate hasStationCode P1289 FINISHED
Object SKT
SKT is the station code for Skanstull, a Stockholm metro station on the city's Green line.
E1182314 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: SKT | Statement: [Skanstull metro station, hasStationCode, SKT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SKT
Context triple: [Skanstull metro station, hasStationCode, SKT]
  • A. SKT
    SKT is the IATA airport code for Sialkot International Airport in Sialkot, Pakistan.
  • B. SKLG
    SKLG is the ICAO airport code for the main airport serving Puerto Leguízamo in Colombia.
  • C. Gen.G Tigers of Shanghai
    Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
  • D. Gen.G Esports
    Gen.G Esports is a global professional esports organization fielding top-level teams across multiple games in North America and Asia.
  • E. Seoul Dynasty
    Seoul Dynasty is a professional esports team based in Seoul, South Korea that competes in Blizzard Entertainment’s Overwatch League.
  • 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: SKT
Triple: [Skanstull metro station, hasStationCode, SKT]
Generated description
SKT is the station code for Skanstull, a Stockholm metro station on the city's Green line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SKT
Target entity description: SKT is the station code for Skanstull, a Stockholm metro station on the city's Green line.
  • A. SKT
    SKT is the IATA airport code for Sialkot International Airport in Sialkot, Pakistan.
  • B. SKLG
    SKLG is the ICAO airport code for the main airport serving Puerto Leguízamo in Colombia.
  • C. Gen.G Tigers of Shanghai
    Gen.G Tigers of Shanghai is an esports team that competes in the NBA 2K League and represents the global expansion of the league into Asia.
  • D. Gen.G Esports
    Gen.G Esports is a global professional esports organization fielding top-level teams across multiple games in North America and Asia.
  • E. Seoul Dynasty
    Seoul Dynasty is a professional esports team based in Seoul, South Korea that competes in Blizzard Entertainment’s Overwatch League.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1566216d481908dd6e3acaa26fd45 completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb05b15e8819083b67afa52f46283 completed May 9, 2026, 10:08 p.m.
NEDg Description generation batch_69ffb0cfac808190b32bb25659603fb4 completed May 9, 2026, 10:10 p.m.
NED2 Entity disambiguation (via description) batch_69ffb15b987c8190ae9c96f15fc55b27 completed May 9, 2026, 10:12 p.m.
Created at: April 10, 2026, 4:52 a.m.