Triple

T4751064
Position Surface form Disambiguated ID Type / Status
Subject Stockholm commuter rail E105476 entity
Predicate hasLine P35 FINISHED
Object line J37
Line J37 is a route within the Stockholm commuter rail network that serves suburban and regional passengers traveling between central Stockholm and outlying areas.
E471143 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: line J37 | Statement: [Stockholm commuter rail, hasLine, line J37]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: line J37
Context triple: [Stockholm commuter rail, hasLine, line J37]
  • A. line J36
    Line J36 is a route within the Stockholm commuter rail network that connects suburban areas with central Stockholm as part of the region’s public transit system.
  • B. line J35
    Line J35 is a route within the Stockholm commuter rail network that serves suburban and regional passengers traveling to and from the Swedish capital.
  • C. line J
    Line J is a suburban rail line in the Transilien network serving the western suburbs of Paris, particularly along the Paris–Saint-Lazare corridor.
  • D. Line 3
    Line 3 is a major line of the Moscow Metro system, known for serving central Moscow and connecting key residential and commercial districts.
  • E. Line 3
    Line 3 is a Culver CityBus route in the Los Angeles area that connects key destinations across Culver City and nearby communities.
  • 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: line J37
Triple: [Stockholm commuter rail, hasLine, line J37]
Generated description
Line J37 is a route within the Stockholm commuter rail network that serves suburban and regional passengers traveling between central Stockholm and outlying areas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: line J37
Target entity description: Line J37 is a route within the Stockholm commuter rail network that serves suburban and regional passengers traveling between central Stockholm and outlying areas.
  • A. line J36
    Line J36 is a route within the Stockholm commuter rail network that connects suburban areas with central Stockholm as part of the region’s public transit system.
  • B. line J35
    Line J35 is a route within the Stockholm commuter rail network that serves suburban and regional passengers traveling to and from the Swedish capital.
  • C. line J
    Line J is a suburban rail line in the Transilien network serving the western suburbs of Paris, particularly along the Paris–Saint-Lazare corridor.
  • D. Line 3
    Line 3 is a major line of the Moscow Metro system, known for serving central Moscow and connecting key residential and commercial districts.
  • E. Line 3
    Line 3 is a Culver CityBus route in the Los Angeles area that connects key destinations across Culver City and nearby communities.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c97b548190815083f2f8df907c completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d884e0481908c0214fe93348753 completed March 21, 2026, 7:49 a.m.
NEDg Description generation batch_69be4e38bccc81909102f922fd395568 completed March 21, 2026, 7:52 a.m.
NED2 Entity disambiguation (via description) batch_69be4ea8fa708190909e26268b49b678 completed March 21, 2026, 7:54 a.m.
Created at: March 20, 2026, 1:20 p.m.