Triple
T21185221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dál gCais |
E522061
|
entity |
| Predicate | powerBase |
P404
|
FINISHED |
| Object | North Munster |
—
|
NE NERFINISHED |
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: North Munster | Statement: [Dál gCais, powerBase, North Munster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: North Munster Context triple: [Dál gCais, powerBase, North Munster]
-
A.
South Munster
South Munster is the historical anglicized name for Desmond, a medieval Gaelic kingdom in the southwestern part of Ireland.
-
B.
West Kerry
West Kerry is a Gaeltacht region on the Dingle Peninsula in County Kerry, Ireland, known for its strong Irish-language tradition and distinctive local culture.
-
C.
Munster
Munster is a town in Lower Saxony, Germany, known for its military training areas and location within the Lüneburg Heath region.
-
D.
Munster
chosen
Munster is a historic province in the south of Ireland, known for its major role in Irish history, culture, and conflicts, including the 17th-century wars.
-
E.
Munster
Munster is a small town in the Grand Est region of northeastern France, known for its namesake strong-smelling cheese and picturesque setting in the Vosges mountains.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e730205ce88190b0bb33003295d6e7 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 3:06 p.m.