Triple

T6020752
Position Surface form Disambiguated ID Type / Status
Subject Jakobsberg station E134055 entity
Predicate fareZone P844 FINISHED
Object SL zone A
SL zone A is the central public transport fare zone in Stockholm County, covering the innermost parts of the region including central Stockholm.
 E560839 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: SL zone A | Statement: [Jakobsberg station, fareZone, SL zone A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SL zone A
Context triple: [Jakobsberg station, fareZone, SL zone A]
  • A. SL zone C
    SL zone C is one of the outer public transport fare zones in the Stockholm region, covering suburban and outlying areas beyond the central city.
  • B. Zone 1A
    Zone 1A is a central MBTA subway fare zone in Boston that includes Park Street station and other core downtown stops.
  • C. Zone 1
    Zone 1 is the central London public transport fare zone that covers the city’s main commercial, tourist, and historic areas.
  • D. Special Zone
    Special Zone is a hidden, extra-difficult set of bonus levels in Super Mario World that offers unique challenges and unlocks game changes upon completion.
  • E. Zone L (Guthrie classification)
    Zone L in the Guthrie classification is a group of closely related Bantu languages centered around Tshiluba and its dialects in south-central Africa.
  • 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: SL zone A
Triple: [Jakobsberg station, fareZone, SL zone A]
Generated description
SL zone A is the central public transport fare zone in Stockholm County, covering the innermost parts of the region including central Stockholm.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SL zone A
Target entity description: SL zone A is the central public transport fare zone in Stockholm County, covering the innermost parts of the region including central Stockholm.
  • A. SL zone C
    SL zone C is one of the outer public transport fare zones in the Stockholm region, covering suburban and outlying areas beyond the central city.
  • B. Zone 1A
    Zone 1A is a central MBTA subway fare zone in Boston that includes Park Street station and other core downtown stops.
  • C. Zone 1
    Zone 1 is the central London public transport fare zone that covers the city’s main commercial, tourist, and historic areas.
  • D. Special Zone
    Special Zone is a hidden, extra-difficult set of bonus levels in Super Mario World that offers unique challenges and unlocks game changes upon completion.
  • E. Zone L (Guthrie classification)
    Zone L in the Guthrie classification is a group of closely related Bantu languages centered around Tshiluba and its dialects in south-central Africa.
  • 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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04fba86a48190984e95d5adf7c7f1 completed March 22, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108c2e1c88190a1629c6438f6c8bd completed March 23, 2026, 9:32 a.m.
NEDg Description generation batch_69c1096d5f2881909126730848ca0e78 completed March 23, 2026, 9:35 a.m.
NED2 Entity disambiguation (via description) batch_69c10b2699088190a468989beded758e completed March 23, 2026, 9:43 a.m.
Created at: March 22, 2026, 4:07 p.m.