Triple
T13171355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasastan |
E312981
|
entity |
| Predicate | hasMajorSquare |
P15345
|
FINISHED |
| Object | Odenplan |
E1025583
|
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: Odenplan | Statement: [Vasastan, hasMajorSquare, Odenplan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odenplan Context triple: [Vasastan, hasMajorSquare, Odenplan]
-
A.
Odenplan
chosen
Odenplan is a major public square and transport hub in central Stockholm, Sweden.
-
B.
Stureplan
Stureplan is a central square and bustling nightlife and shopping hub in Stockholm, Sweden, known for its upscale restaurants, clubs, and iconic mushroom-shaped glass canopy.
-
C.
Thorildsplan
Thorildsplan is a Stockholm metro station located on the island district of Kungsholmen in central Stockholm, Sweden.
-
D.
Slussen
Slussen is a major transport hub and metro station in central Stockholm, serving as a key interchange between multiple subway lines and other public transit.
-
E.
Ørestad
Ørestad is a modern, rapidly developing district on the island of Amager in Copenhagen, known for its contemporary architecture, mixed-use urban planning, and proximity to both the city center and Copenhagen Airport.
- 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_69d806ac3ee081909b2fd27d060aa974 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c2f22b881908a0af3af0a0af971 |
completed | April 10, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5e5eacc8190ae39dcdb12c9b563 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:13 p.m.