Triple
T11629875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vrilissia |
E276367
|
entity |
| Predicate | hasNeighbouringMunicipality |
P224
|
FINISHED |
| Object | Penteli |
E276368
|
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: Penteli | Statement: [Vrilissia, hasNeighbouringMunicipality, Penteli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penteli Context triple: [Vrilissia, hasNeighbouringMunicipality, Penteli]
-
A.
Penteli
chosen
Penteli is a suburban town and mountainous area in the northern part of the Athens metropolitan region in Greece, known for its marble quarries and natural landscapes.
-
B.
Pietilä
Pietilä is a Finnish surname borne by various notable individuals in fields such as art, architecture, and public life.
-
C.
Kajansi
Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
-
D.
Kankaanpää
Kankaanpää is a small town and municipality in the Satakunta region of western Finland, known for its surrounding forests and lakes.
-
E.
Tikkakoski
Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a127b2688190ae3a340f851e834b |
completed | April 10, 2026, 7:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87a20af481909b47775c7cb6ec3b |
completed | April 26, 2026, 9:46 p.m. |
Created at: April 8, 2026, 9:39 p.m.