Triple
T13800330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liseberg station |
E331621
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Lisebergs station |
E331621
|
NE FINISHED |
How this triple was built (2 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: Lisebergs station | Statement: [Liseberg station, hasNameInLanguage, Lisebergs station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisebergs station Context triple: [Liseberg station, hasNameInLanguage, Lisebergs station]
-
A.
Liseberg station
chosen
Liseberg station is a railway station in Gothenburg, Sweden, serving the Liseberg amusement park and surrounding area.
-
B.
Lund Central Station
Lund Central Station is the main railway hub in the Swedish city of Lund, serving regional and long-distance trains across southern Sweden and beyond.
-
C.
Solna Station
Solna Station is a major commuter rail and metro hub in Solna, just north of central Stockholm, Sweden.
-
D.
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.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8da594c81908cb878a8cc1b3a72 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.