Triple
T3145678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evenemangsstråket |
E65757
|
entity |
| Predicate | transportConnection |
P1298
|
FINISHED |
| Object |
Ullevi tram stops
Ullevi tram stops are key public transport stations in Gothenburg serving the Ullevi stadium area and nearby event venues.
|
E331611
|
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: Ullevi tram stops | Statement: [Evenemangsstråket, transportConnection, Ullevi tram stops]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ullevi tram stops Context triple: [Evenemangsstråket, transportConnection, Ullevi tram stops]
-
A.
Steintor tram stop
Steintor tram stop is a public tram station in Hanover, Germany, serving as a key transit point near the Gehry Tower and the city center.
-
B.
Gaustad tram stop
Gaustad tram stop is a light rail station on the Oslo Tramway network serving the Gaustad area of Oslo, Norway.
-
C.
Tøyen metro station
Tøyen metro station is an Oslo Metro station serving the Tøyen neighborhood in Oslo, Norway.
-
D.
Majorstuen station
Majorstuen station is a key interchange on the Oslo Metro where multiple lines converge, serving as a major transit hub in the western part of the city.
-
E.
Benchill tram stop
Benchill tram stop is a light-rail station on Greater Manchester’s Metrolink network serving the Benchill area of Wythenshawe.
- 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: Ullevi tram stops Triple: [Evenemangsstråket, transportConnection, Ullevi tram stops]
Generated description
Ullevi tram stops are key public transport stations in Gothenburg serving the Ullevi stadium area and nearby event venues.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ullevi tram stops Target entity description: Ullevi tram stops are key public transport stations in Gothenburg serving the Ullevi stadium area and nearby event venues.
-
A.
Steintor tram stop
Steintor tram stop is a public tram station in Hanover, Germany, serving as a key transit point near the Gehry Tower and the city center.
-
B.
Gaustad tram stop
Gaustad tram stop is a light rail station on the Oslo Tramway network serving the Gaustad area of Oslo, Norway.
-
C.
Tøyen metro station
Tøyen metro station is an Oslo Metro station serving the Tøyen neighborhood in Oslo, Norway.
-
D.
Majorstuen station
Majorstuen station is a key interchange on the Oslo Metro where multiple lines converge, serving as a major transit hub in the western part of the city.
-
E.
Benchill tram stop
Benchill tram stop is a light-rail station on Greater Manchester’s Metrolink network serving the Benchill area of Wythenshawe.
- 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_69ad8582f564819088c27e1f96153938 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada59797788190a8d71262888c5df0 |
completed | March 8, 2026, 4:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f18e80819083be53c556d56947 |
completed | March 12, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69b2271961048190906b6fa25e4b560c |
completed | March 12, 2026, 2:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b227becba08190b5e4b3dae277ce51 |
completed | March 12, 2026, 2:41 a.m. |
Created at: March 8, 2026, 3:05 p.m.