Triple

T5409638
Position Surface form Disambiguated ID Type / Status
Subject Handen station E120980 entity
Predicate fareZone P844 FINISHED
Object 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.
 E517906 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 C | Statement: [Handen station, fareZone, SL zone C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SL zone C
Context triple: [Handen station, fareZone, SL zone C]
  • A. 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.
  • B. Zone 1
    Zone 1 is the central London public transport fare zone that covers the city’s main commercial, tourist, and historic areas.
  • C. Zone 5
    Zone 5 is an outer fare zone in the London public transport system used for calculating ticket and Travelcard prices.
  • D. SPT Zone 1
    SPT Zone 1 is the central fare zone in the Strathclyde Partnership for Transport network, covering Glasgow’s main city-centre stations and core urban area.
  • E. Zone 12
    Zone 12 is an outer Long Island Rail Road fare zone used for setting ticket prices to and from stations such as Mastic–Shirley.
  • 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 C
Triple: [Handen station, fareZone, SL zone C]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SL zone C
Target entity description: 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.
  • A. 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.
  • B. Zone 1
    Zone 1 is the central London public transport fare zone that covers the city’s main commercial, tourist, and historic areas.
  • C. Zone 5
    Zone 5 is an outer fare zone in the London public transport system used for calculating ticket and Travelcard prices.
  • D. SPT Zone 1
    SPT Zone 1 is the central fare zone in the Strathclyde Partnership for Transport network, covering Glasgow’s main city-centre stations and core urban area.
  • E. Zone 12
    Zone 12 is an outer Long Island Rail Road fare zone used for setting ticket prices to and from stations such as Mastic–Shirley.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8796a420819092c1771407cd1a5d completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf339e02dc8190bb2ca6e0a0ef4621 completed March 22, 2026, 12:11 a.m.
NEDg Description generation batch_69bf34b0e22c819091aefd30a5e5a13d completed March 22, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69bf35442cf481908053d3645e6e9968 completed March 22, 2026, 12:18 a.m.
Created at: March 20, 2026, 2:05 p.m.