Triple
T10768964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blessington |
E254024
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | Blessington |
E254024
|
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: Blessington | Statement: [Blessington, hasPostTown, Blessington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blessington Context triple: [Blessington, hasPostTown, Blessington]
-
A.
Blessington
chosen
Blessington is a small town in County Wicklow, Ireland, known for its proximity to the Blessington Lakes and scenic views of the surrounding Wicklow Mountains.
-
B.
Bagenalstown
Bagenalstown is a small market town in County Carlow, Ireland, situated on the River Barrow and known for its historic architecture and canal-side setting.
-
C.
Mountshannon
Mountshannon is a picturesque village in County Clare, Ireland, on the shores of Lough Derg, known for its lakeside scenery, marina, and access to nearby Holy Island.
-
D.
Kilbeggan
Kilbeggan is a small Irish town best known for its historic whiskey distillery, one of the oldest licensed distilleries in the world.
-
E.
Fermoy
Fermoy is a market town on the River Blackwater in southern Ireland known historically as a garrison town and regional commercial center.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d7322f9968819098b0ad54b913bfe4 |
completed | April 9, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e49658b5a48190813dcf114d92be8e |
completed | April 19, 2026, 8:46 a.m. |
Created at: April 8, 2026, 9:16 p.m.