Triple
T7700719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kymenlaakso |
E174485
|
entity |
| Predicate | includesMunicipality |
P14658
|
FINISHED |
| Object | Hamina |
E206540
|
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: Hamina | Statement: [Kymenlaakso, includesMunicipality, Hamina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamina Context triple: [Kymenlaakso, includesMunicipality, Hamina]
-
A.
Hamina
chosen
Hamina is a coastal town and municipality in southeastern Finland known for its historic star-shaped fortress and strategic location on the Gulf of Finland.
-
B.
Aïn El Hammam
Aïn El Hammam is a town in northern Algeria known for its mountainous Kabylie setting and Berber cultural heritage.
-
C.
Ajdabiya
Ajdabiya is a strategic town in northeastern Libya that became a key battleground during the 2011 Libyan Civil War due to its location on major coastal and desert routes.
-
D.
Berrechid
Berrechid is a rapidly growing city in northwestern Morocco known as an important agricultural and industrial hub within the Casablanca-Settat region.
-
E.
El Hadaba
El Hadaba is the famous nickname of Egyptian singer Amr Diab, one of the Arab world's most successful and influential pop music stars.
- 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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70288d02c819093d6f0e47707d0a3 |
completed | March 27, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7bca3208190b214e3ebb8fe8c0b |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 4:03 p.m.