Triple
T15762596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Cork |
E382135
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Aghada |
E1190111
|
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: Aghada | Statement: [East Cork, hasVillage, Aghada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aghada Context triple: [East Cork, hasVillage, Aghada]
-
A.
Aghada
chosen
Aghada is a small coastal village in County Cork, Ireland, situated on the eastern side of Cork Harbour.
-
B.
Youghal
Youghal is a historic seaside town and popular tourist destination on the south coast of Ireland, known for its medieval architecture and sandy beaches.
-
C.
Kinsale
Kinsale is a historic coastal town in southern Ireland known for its picturesque harbor, colorful streets, gourmet food scene, and role in events such as the Battle of Kinsale.
-
D.
Clonakilty
Clonakilty is a coastal town in southwest Ireland known for its vibrant music scene, sandy beaches, and award-winning black pudding.
-
E.
Malahide
Malahide is a coastal suburban town in north County Dublin, Ireland, known for its marina, beaches, and historic Malahide Castle and demesne.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b6c9fc8190a1bcf763c4b04b12 |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff79031f88190bf129582deeed3b9 |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 4:47 a.m.