Triple
T16459881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terjola Municipality |
E399778
|
entity |
| Predicate | hasUrbanCenter |
P2106
|
FINISHED |
| Object | Terjola |
E93314
|
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: Terjola | Statement: [Terjola Municipality, hasUrbanCenter, Terjola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terjola Context triple: [Terjola Municipality, hasUrbanCenter, Terjola]
-
A.
Terjola
chosen
Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
-
B.
Tammela
Tammela is a rural municipality in southern Finland known for its forests, lakes, and national parks such as Torronsuo and Liesjärvi.
-
C.
Harjola
Harjola is a Finnish surname, notably borne by film director Renny Harlin (born Lauri Mauritz Harjola).
-
D.
Kangasala
Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
-
E.
Raisio
Raisio is a town and municipality in southwestern Finland known for its industrial base and as the headquarters of the food company Raisio Group.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d80e66c8190b2b3199efe9cfaa1 |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a50665d081908c07fe3cb59088b3 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:10 a.m.