Triple
T13171356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasastan |
E312981
|
entity |
| Predicate | hasMajorSquare |
P15345
|
FINISHED |
| Object | St. Eriksplan |
E1025584
|
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: St. Eriksplan | Statement: [Vasastan, hasMajorSquare, St. Eriksplan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Eriksplan Context triple: [Vasastan, hasMajorSquare, St. Eriksplan]
-
A.
St. Eriksplan
chosen
St. Eriksplan is a well-known square and traffic hub in central Stockholm, featuring a metro station and surrounded by shops, cafes, and residential buildings.
-
B.
Hötorget
Hötorget is a central square in downtown Stockholm known for its market stalls, surrounding shops, and cultural venues.
-
C.
Östermalmstorg
Östermalmstorg is a central public square in Stockholm’s upscale Östermalm district, known for its historic market hall, shops, and restaurants.
-
D.
Fridhemsplan
Fridhemsplan is a major public square and transport hub in central Stockholm, known for its busy metro interchange and surrounding commercial area.
-
E.
Stora Nygatan
Stora Nygatan is a historic main street in Stockholm’s Old Town (Gamla stan), known for its well-preserved architecture, 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_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.