Triple
T19873138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skytteholm |
E477570
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Huvudsta |
—
|
NE NERFINISHED |
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: Huvudsta | Statement: [Skytteholm, adjacentTo, Huvudsta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huvudsta Context triple: [Skytteholm, adjacentTo, Huvudsta]
-
A.
Huvudsta
chosen
Huvudsta is a district in the Stockholm urban area of Sweden, known for its residential neighborhoods, parks, and proximity to central Stockholm.
-
B.
Hagastaden
Hagastaden is a major urban development district in northern Stockholm, Sweden, being transformed into a dense mixed-use area with housing, offices, and life science facilities.
-
C.
Hovedstaden
Hovedstaden is the Capital Region of Denmark, encompassing Copenhagen and surrounding areas as one of the country’s main administrative regions.
-
D.
Kingissepa
Kingissepa is the former Soviet-era name of the Estonian town now known as Kuressaare, located on Saaremaa Island.
-
E.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d92f9c8190b363587ed1881c2c |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:51 p.m.