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.