Triple
T15216476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bybanen |
E363648
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Lagunen station
Lagunen station is a light rail stop on Bergen’s Bybanen system serving the Lagunen shopping and residential area in Norway.
|
E1144733
|
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: Lagunen station | Statement: [Bybanen, hasStation, Lagunen station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagunen station Context triple: [Bybanen, hasStation, Lagunen station]
-
A.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
B.
Lesja Station
Lesja Station is a rural railway stop in Norway serving the village of Lesja and connecting the area to the wider national rail network.
-
C.
Oriente station
Oriente station is a major multimodal transport hub in Lisbon, Portugal, serving as a key connection point for trains, metro, buses, and regional services.
-
D.
Villa-Maria station
Villa-Maria station is a Montreal Metro station on the Orange Line, serving the Côte-des-Neiges–Notre-Dame-de-Grâce borough near the historic Villa Maria school.
-
E.
Viau station
Viau station is a Montreal Metro station on the Green Line, serving the Hochelaga-Maisonneuve area and providing access to nearby attractions such as the Olympic Park.
- 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: Lagunen station Triple: [Bybanen, hasStation, Lagunen station]
Generated description
Lagunen station is a light rail stop on Bergen’s Bybanen system serving the Lagunen shopping and residential area in Norway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lagunen station Target entity description: Lagunen station is a light rail stop on Bergen’s Bybanen system serving the Lagunen shopping and residential area in Norway.
-
A.
Legarda station
Legarda station is an elevated rapid transit stop on Manila’s LRT Line 2 serving the Sampaloc area and nearby universities.
-
B.
Lesja Station
Lesja Station is a rural railway stop in Norway serving the village of Lesja and connecting the area to the wider national rail network.
-
C.
Oriente station
Oriente station is a major multimodal transport hub in Lisbon, Portugal, serving as a key connection point for trains, metro, buses, and regional services.
-
D.
Villa-Maria station
Villa-Maria station is a Montreal Metro station on the Orange Line, serving the Côte-des-Neiges–Notre-Dame-de-Grâce borough near the historic Villa Maria school.
-
E.
Viau station
Viau station is a Montreal Metro station on the Green Line, serving the Hochelaga-Maisonneuve area and providing access to nearby attractions such as the Olympic Park.
- 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_69fedd3159fc81908c05cfbd0bd7e5ac |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fedea1fea88190b891485794acfa8d |
completed | May 9, 2026, 7:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fedf2b52348190bd8fc6999cb0abd7 |
completed | May 9, 2026, 7:15 a.m. |
Created at: April 10, 2026, 3:11 a.m.