Triple
T5176654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tvärbanan |
E116814
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
Hammarby depot
Hammarby depot is a maintenance and storage facility serving Stockholm’s Tvärbanan light rail system.
|
E501410
|
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: Hammarby depot | Statement: [Tvärbanan, hasDepot, Hammarby depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hammarby depot Context triple: [Tvärbanan, hasDepot, Hammarby depot]
-
A.
Solna Station
Solna Station is a major commuter rail and metro hub in Solna, just north of central Stockholm, Sweden.
-
B.
Stockholm Odenplan Station
Stockholm Odenplan Station is a major underground transit hub in central Stockholm that serves as a key interchange for commuter rail, metro, and bus services.
-
C.
Stockholm City Station
Stockholm City Station is a major underground railway station in central Stockholm that serves as a key interchange point for the city’s commuter rail network.
-
D.
Sundbyberg station
Sundbyberg station is a major public transport hub in the Stockholm area, serving as a stop for commuter trains, the metro, and local buses.
-
E.
Södertälje Centrum Station
Södertälje Centrum Station is a key transit hub in Södertälje, Sweden, serving as an important stop on the Stockholm commuter rail network.
- 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: Hammarby depot Triple: [Tvärbanan, hasDepot, Hammarby depot]
Generated description
Hammarby depot is a maintenance and storage facility serving Stockholm’s Tvärbanan light rail system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hammarby depot Target entity description: Hammarby depot is a maintenance and storage facility serving Stockholm’s Tvärbanan light rail system.
-
A.
Solna Station
Solna Station is a major commuter rail and metro hub in Solna, just north of central Stockholm, Sweden.
-
B.
Stockholm Odenplan Station
Stockholm Odenplan Station is a major underground transit hub in central Stockholm that serves as a key interchange for commuter rail, metro, and bus services.
-
C.
Stockholm City Station
Stockholm City Station is a major underground railway station in central Stockholm that serves as a key interchange point for the city’s commuter rail network.
-
D.
Sundbyberg station
Sundbyberg station is a major public transport hub in the Stockholm area, serving as a stop for commuter trains, the metro, and local buses.
-
E.
Södertälje Centrum Station
Södertälje Centrum Station is a key transit hub in Södertälje, Sweden, serving as an important stop on the Stockholm commuter rail network.
- 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_69bd446140f08190becb93c61158f27f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7974a5308190819b100e07189131 |
completed | March 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee07a6620819089e2b3fcb322a47e |
completed | March 21, 2026, 6:16 p.m. |
| NEDg | Description generation | batch_69bee695358c8190801c63cff67efd1b |
completed | March 21, 2026, 6:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bee6f91df48190adfcf47a63f4c8ef |
completed | March 21, 2026, 6:44 p.m. |
Created at: March 20, 2026, 1:45 p.m.