Triple
T13800328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liseberg station |
E331621
|
entity |
| Predicate | locatedUnder |
P10157
|
FINISHED |
| Object | Örgrytevägen |
E1062027
|
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: Örgrytevägen | Statement: [Liseberg station, locatedUnder, Örgrytevägen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Örgrytevägen Context triple: [Liseberg station, locatedUnder, Örgrytevägen]
-
A.
Örgrytevägen
chosen
Örgrytevägen is a major street in Gothenburg, Sweden, connecting the central area around Korsvägen with the district of Örgryte and serving as an important urban thoroughfare.
-
B.
Valhallavägen
Valhallavägen is a major thoroughfare in central Stockholm, Sweden, known for its length, cultural institutions, and proximity to several universities and parks.
-
C.
Karlavägen
Karlavägen is a major, tree-lined boulevard in central Stockholm known for its elegant architecture and location in the upscale Östermalm district.
-
D.
Monteliusvägen
Monteliusvägen is a scenic walking path in Stockholm known for its panoramic views over the city and Lake Mälaren.
-
E.
Österlånggatan
Österlånggatan is a historic street in Stockholm’s Old Town (Gamla stan), known for its medieval origins, preserved architecture, and vibrant mix of shops and restaurants.
- 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_69fba1b8689c8190b3ef7416000ef89e |
completed | May 6, 2026, 8:16 p.m. |
Created at: April 9, 2026, 10:11 p.m.