Triple
T8789127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salo, Finland |
E209115
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object | Kisko |
E499500
|
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: Kisko | Statement: [Salo, Finland, formedByMergerOf, Kisko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kisko Context triple: [Salo, Finland, formedByMergerOf, Kisko]
-
A.
Kisko
chosen
Kisko is a former municipality in southwestern Finland that is now part of the town of Salo.
-
B.
Kogo
Kogo is a settlement located in the Litoral region of Equatorial Guinea.
-
C.
Kuo
Kuo is a Wade–Giles romanization of the Chinese surname and name more commonly spelled "Guo" in pinyin.
-
D.
Kisi
Kisi is an indigenous Georgian white grape variety from the Kakheti region, known for producing aromatic, full-bodied wines often made in traditional qvevri.
-
E.
Koja
Koja is a coastal district in North Jakarta, Indonesia, known for its dense urban neighborhoods and proximity to the city’s port and industrial areas.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f8b0c108190af53d4bb9b132c5c |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5210454c8190aa83d941893a4bc5 |
completed | April 3, 2026, 5:37 a.m. |
Created at: March 30, 2026, 6:43 p.m.