Triple
T10174112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristinestad |
E235805
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Kaskinen |
E752108
|
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: Kaskinen | Statement: [Kristinestad, hasNeighboringMunicipality, Kaskinen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaskinen Context triple: [Kristinestad, hasNeighboringMunicipality, Kaskinen]
-
A.
Kaskinen
chosen
Kaskinen is a small coastal town and municipality in western Finland, known as one of the country’s smallest cities by population.
-
B.
Raskens
Raskens is a novel by Swedish author Vilhelm Moberg that portrays the harsh life and inner struggles of a 19th-century Swedish soldier and farmer.
-
C.
Kitinen
Kitinen is a significant river in northern Finland that serves as one of the main tributaries of the Kemijoki river system.
-
D.
Kooda
"Kooda" is a high-energy hip-hop single by rapper Tekashi 6ix9ine, known for its aggressive delivery and colorful, chaotic music video that helped launch his mainstream notoriety.
-
E.
Kasi
Kasi is the first name of Kasi Lemmons, an American film director, actress, and screenwriter known for works like "Eve's Bayou" and "Harriet."
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdeca0dc508190916f2a1bbb288192 |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3010c386481908bc0c985c0b5ff93 |
completed | April 6, 2026, 12:40 a.m. |
Created at: March 30, 2026, 9:11 p.m.