Triple
T9348198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Idstein |
E224946
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Uusikaupunki |
E233031
|
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: Uusikaupunki | Statement: [Idstein, hasTwinTown, Uusikaupunki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uusikaupunki Context triple: [Idstein, hasTwinTown, Uusikaupunki]
-
A.
Uusikaupunki
chosen
Uusikaupunki is a coastal town and municipality in southwestern Finland known for its maritime heritage and automotive industry.
-
B.
Kirkkonummi
Kirkkonummi is a municipality in southern Finland, located just west of Helsinki on the coast of the Gulf of Finland.
-
C.
Riihimäki
Riihimäki is a Finnish town known as a regional railway hub and industrial center located north of Helsinki.
-
D.
Tampere
Tampere is a major industrial and cultural city in southern Finland, historically significant as a key battleground in the Finnish Civil War.
-
E.
Lahti
Lahti is a city in southern Finland known for its winter sports facilities, particularly ski jumping and cross-country skiing, and for hosting numerous international sporting events.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f107f0081908938f4b814eca5fc |
completed | April 1, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9330fa33c8190b507ad18362a6c64 |
completed | April 10, 2026, 5:27 p.m. |
Created at: March 30, 2026, 7:41 p.m.