Triple
T4916980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lilla Värtan |
E110372
|
entity |
| Predicate | nearbyDistrict |
P18717
|
FINISHED |
| Object | Djursholm |
E122856
|
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: Djursholm | Statement: [Lilla Värtan, nearbyDistrict, Djursholm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Djursholm Context triple: [Lilla Värtan, nearbyDistrict, Djursholm]
-
A.
Djursholm
chosen
Djursholm is an affluent suburban district of Stockholm, Sweden, known for its villas, garden-city planning, and status as one of the country’s wealthiest residential areas.
-
B.
Hjulsta
Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
-
C.
Söderort
Söderort is the southern suburban part of Stockholm, Sweden, consisting mainly of residential districts located south of the inner-city island of Södermalm.
-
D.
Lindesberg
Lindesberg is a small historic town in central Sweden known for its mining heritage and lakeside setting.
-
E.
Katrineholm
Katrineholm is a small Swedish town known as a regional transport hub and service center in central Södermanland.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6fa559608190aa8d02b1547b8f97 |
completed | March 20, 2026, 4:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be81bfb44481909f67d726dacec37d |
completed | March 21, 2026, 11:32 a.m. |
Created at: March 20, 2026, 1:29 p.m.