Triple
T15051973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ring of Beara |
E379381
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Kenmare |
E989034
|
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: Kenmare | Statement: [Ring of Beara, passesThrough, Kenmare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenmare Context triple: [Ring of Beara, passesThrough, Kenmare]
-
A.
Kenmare
chosen
Kenmare is a picturesque town in southwestern Ireland known for its scenic location between the Ring of Kerry and the Beara Peninsula, attracting visitors with its natural beauty and traditional charm.
-
B.
Muskerry
Muskerry is a region in County Cork, Ireland, traditionally associated with a distinctive variety of the Munster dialect of the Irish language.
-
C.
Glenbeigh
Glenbeigh is a coastal village in County Kerry, Ireland, known for its scenic setting on the Ring of Kerry near Rossbeigh Beach.
-
D.
Frome
Frome is a historic market town in Somerset, England, known for its well-preserved architecture, independent shops, and vibrant arts and cultural scene.
-
E.
Frome
Frome is an electoral district in the South Australian House of Assembly, covering a largely rural region in the state's mid-north.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69deda90b9948190a0d71de0b23188da |
completed | April 15, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31debb48190908d59178e67adb6 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:01 a.m.