Triple
T15955865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N22 road |
E386931
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Ballincollig |
E397946
|
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: Ballincollig | Statement: [N22 road, passesNear, Ballincollig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ballincollig Context triple: [N22 road, passesNear, Ballincollig]
-
A.
Ballincollig
chosen
Ballincollig is a large suburban town in County Cork, Ireland, known for its rapid growth, proximity to Cork city, and the historic Ballincollig Royal Gunpowder Mills.
-
B.
Clonmel
Clonmel is a historic town in County Tipperary, Ireland, known for its strategic location and notable role in Irish military and political history.
-
C.
Enniscrone
Enniscrone is a coastal resort town in County Sligo, Ireland, known for its long sandy beach, surfing, and seaside tourism.
-
D.
Clonakilty
Clonakilty is a coastal town in southwest Ireland known for its vibrant music scene, sandy beaches, and award-winning black pudding.
-
E.
Ballymahon
Ballymahon is a small town in County Longford, Ireland, situated on the River Inny and known for its surrounding rural landscapes and proximity to the Royal Canal.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156fb29848190a55cabb49cb19575 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ec1091c8190a8e4c4db6180129a |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 4:53 a.m.