Triple
T7174669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joensuu |
E167288
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Varberg |
E553783
|
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: Varberg | Statement: [Joensuu, hasTwinTown, Varberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varberg Context triple: [Joensuu, hasTwinTown, Varberg]
-
A.
Varberg
chosen
Varberg is a coastal town in southwestern Sweden known for its historic fortress, sandy beaches, and popular seaside spa culture.
-
B.
Náströnd
Náströnd is a grim shore in Norse mythology where the souls of the most wicked are punished in a hall woven of serpents and dripping venom.
-
C.
Värtahamnen
Värtahamnen is a major port and harbor area in Stockholm, Sweden, serving as an important hub for ferry, cargo, and cruise traffic in the Baltic Sea region.
-
D.
Skärhamn
Skärhamn is a coastal town in western Sweden known for its fishing heritage, picturesque harbor, and the Nordic Watercolour Museum.
-
E.
Värmdö
Värmdö is a large island and municipality in the Stockholm archipelago of Sweden, known for its coastal landscapes, holiday homes, and proximity to Stockholm.
- 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_69c68889a2748190a316c5e65360361a |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e88d770c8190b8d06dcd08447c08 |
completed | March 27, 2026, 8:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b921b1e48190b25c1337f6187174 |
completed | March 28, 2026, 11:18 a.m. |
Created at: March 27, 2026, 2:48 p.m.