Triple
T7005972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enebyberg |
E162456
|
entity |
| Predicate | nearbyLocality |
P4647
|
FINISHED |
| Object | Stocksund |
E142116
|
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: Stocksund | Statement: [Enebyberg, nearbyLocality, Stocksund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stocksund Context triple: [Enebyberg, nearbyLocality, Stocksund]
-
A.
Stocksund
chosen
Stocksund is an affluent residential suburb in the Stockholm urban area, known for its villas, waterfront location, and proximity to central Stockholm.
-
B.
Stegesund
Stegesund is a small island in the Stockholm archipelago of Sweden, known for its scenic coastal setting and proximity to the town of Vaxholm.
-
C.
Børselv
Børselv is a small coastal village in northern Norway known for its scenic Arctic surroundings and traditional Sámi cultural heritage.
-
D.
Hokksund
Hokksund is a small town in southeastern Norway known as the administrative center of Øvre Eiker municipality in Viken county.
-
E.
Stabekk
Stabekk is a suburban area in Bærum, Norway, known for its residential neighborhoods, proximity to Oslo, and good transport connections.
- 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_69c6885928148190ae31909fbb5e9849 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc34b5a88190a793e07dd4d0018b |
completed | March 27, 2026, 7:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a3f5a088190bd0fa2080a8fa648 |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:33 p.m.