Triple
T15216490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bybanen |
E363648
|
entity |
| Predicate | hasDepot |
P2413
|
FINISHED |
| Object |
Kokstad depot
Kokstad depot is the main maintenance and storage facility serving the Bybanen light rail system in Bergen, Norway.
|
E1143508
|
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: Kokstad depot | Statement: [Bybanen, hasDepot, Kokstad depot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kokstad depot Context triple: [Bybanen, hasDepot, Kokstad depot]
-
A.
Holtet depot
Holtet depot is a tram depot in Oslo, Norway, serving as one of the main facilities for housing and maintaining the city's tram fleet.
-
B.
Etiwanda Depot
Etiwanda Depot is a historic railroad station in the Etiwanda area of Rancho Cucamonga, California, preserved as a landmark reflecting the region’s early transportation and citrus-industry heritage.
-
C.
Kikuna Depot
Kikuna Depot is a railway maintenance and storage facility in Yokohama that services Tokyo Metro rolling stock such as the 8000 series trains.
-
D.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
E.
Pasila depot
Pasila depot is a major railway maintenance and storage facility serving trains in the Pasila district of Helsinki, Finland.
- 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: Kokstad depot Triple: [Bybanen, hasDepot, Kokstad depot]
Generated description
Kokstad depot is the main maintenance and storage facility serving the Bybanen light rail system in Bergen, Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kokstad depot Target entity description: Kokstad depot is the main maintenance and storage facility serving the Bybanen light rail system in Bergen, Norway.
-
A.
Holtet depot
Holtet depot is a tram depot in Oslo, Norway, serving as one of the main facilities for housing and maintaining the city's tram fleet.
-
B.
Etiwanda Depot
Etiwanda Depot is a historic railroad station in the Etiwanda area of Rancho Cucamonga, California, preserved as a landmark reflecting the region’s early transportation and citrus-industry heritage.
-
C.
Kikuna Depot
Kikuna Depot is a railway maintenance and storage facility in Yokohama that services Tokyo Metro rolling stock such as the 8000 series trains.
-
D.
Carnide depot
Carnide depot is a maintenance and storage facility serving the Lisbon Metro system in Lisbon, Portugal.
-
E.
Pasila depot
Pasila depot is a major railway maintenance and storage facility serving trains in the Pasila district of Helsinki, Finland.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed343f51481908f04c35d37b39ad2 |
completed | May 9, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_69fed44b2e3c8190aad111e2bc2b56a2 |
completed | May 9, 2026, 6:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed547192c8190b89755fff48ca620 |
completed | May 9, 2026, 6:33 a.m. |
Created at: April 10, 2026, 3:11 a.m.