Triple
T10073297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pirkanmaa |
E213681
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Akaa |
E207225
|
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: Akaa | Statement: [Pirkanmaa, containsMunicipality, Akaa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akaa Context triple: [Pirkanmaa, containsMunicipality, Akaa]
-
A.
Akaa
chosen
Akaa is a small town and municipality in the Pirkanmaa region of southern Finland.
-
B.
Aka-Kora
Aka-Kora is an extinct Great Andamanese language once spoken by the Kora people of North Andaman Island in India.
-
C.
Kuwahi
Kuwahi is the Cherokee name for Clingmans Dome, the highest peak in Great Smoky Mountains National Park and one of the tallest mountains in the eastern United States.
-
D.
Koga
Koga is a coastal city in Japan known as a residential suburb of Fukuoka with convenient access to the greater Fukuoka metropolitan area.
-
E.
Syukuro
Syukuro is the given name of Syukuro Manabe, a pioneering climatologist known for his foundational work on climate modeling and global warming.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd015ad488190aee3a2bfb58fb855 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29ab376488190bfb3efdb3f240cca |
completed | April 5, 2026, 5:24 p.m. |
Created at: March 30, 2026, 8:59 p.m.