Triple
T15955866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N22 road |
E386931
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Macroom |
E379370
|
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: Macroom | Statement: [N22 road, passesNear, Macroom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Macroom Context triple: [N22 road, passesNear, Macroom]
-
A.
Macroom
chosen
Macroom is a market town in western County Cork, Ireland, situated on the River Sullane and known historically as a regional commercial and agricultural center.
-
B.
MacSeóin
MacSeóin is an Irish-language surname form corresponding to the English name Jones.
-
C.
Keady
Keady is a small town and historic settlement in County Armagh, Northern Ireland, known for its traditional linen industry and rural character.
-
D.
Keady
Keady is a surname most prominently associated with Gene Keady, the longtime head coach of the Purdue University men's basketball team.
-
E.
Múscraí
Múscraí is an Irish-speaking (Gaeltacht) region in County Cork known for its strong traditional culture, language, and rural landscape.
- 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_69ffbe7c8ef081908fa6da7975c271f6 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:53 a.m.