Triple
T10200425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cuxhaven |
E238867
|
entity |
| Predicate | twinnedWith |
P1072
|
FINISHED |
| Object | Hämeenlinna |
E52339
|
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: Hämeenlinna | Statement: [Cuxhaven, twinnedWith, Hämeenlinna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hämeenlinna Context triple: [Cuxhaven, twinnedWith, Hämeenlinna]
-
A.
Hämeenlinna
chosen
Hämeenlinna is a historic city in southern Finland known for its medieval castle, cultural heritage, and role as a regional administrative and educational center.
-
B.
Hämeenkoski
Hämeenkoski is a small municipality in southern Finland, historically part of the Häme region and known as the birthplace of former Finnish president Juho Kusti Paasikivi.
-
C.
Imatra
Imatra is a town and municipality in southeastern Finland known for its industrial history, proximity to the Russian border, and the Imatrankoski rapids.
-
D.
Hämeenkyrö
Hämeenkyrö is a rural municipality in the Pirkanmaa region of western Finland, known for its scenic lake landscapes and traditional Finnish countryside.
-
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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee3f3bac8190a63a81edffe7cda7 |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f12f646ec88190ab4745c52798b599 |
completed | April 28, 2026, 10:06 p.m. |
Created at: March 30, 2026, 9:14 p.m.