Triple
T21365726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limerick, Maine |
E526906
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Limerick, Ireland |
—
|
NE NERFINISHED |
How this triple was built (3 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: Limerick, Ireland | Statement: [Limerick, Maine, namedAfter, Limerick, Ireland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limerick, Ireland Context triple: [Limerick, Maine, namedAfter, Limerick, Ireland]
-
A.
Waterford, Ireland
Waterford, Ireland is a historic port city in the southeast of the country, renowned as Ireland’s oldest city and famous for its Viking heritage and Waterford Crystal.
-
B.
Cork, Ireland
Cork, Ireland is a historic port city in the southwest of Ireland known for its vibrant cultural scene, university life, and role as a major economic and maritime hub.
-
C.
Kildare, Ireland
Kildare, Ireland is a historic town in County Kildare known for its early Christian heritage, horse racing tradition, and proximity to Dublin.
-
D.
Kilkenny, Ireland
Kilkenny, Ireland is a historic city in southeast Ireland known for its well-preserved medieval architecture, including Kilkenny Castle and St. Canice's Cathedral.
-
E.
Clare, Ireland
Clare, Ireland is a historic market town in County Clare known for its traditional Irish culture and proximity to the River Fergus in western Ireland.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Limerick, Ireland Target entity description: Limerick, Ireland is a historic city in western Ireland on the River Shannon, known for its medieval architecture, Georgian streets, and cultural and literary heritage.
-
A.
Waterford, Ireland
Waterford, Ireland is a historic port city in the southeast of the country, renowned as Ireland’s oldest city and famous for its Viking heritage and Waterford Crystal.
-
B.
Cork, Ireland
Cork, Ireland is a historic port city in the southwest of Ireland known for its vibrant cultural scene, university life, and role as a major economic and maritime hub.
-
C.
Kildare, Ireland
Kildare, Ireland is a historic town in County Kildare known for its early Christian heritage, horse racing tradition, and proximity to Dublin.
-
D.
Kilkenny, Ireland
Kilkenny, Ireland is a historic city in southeast Ireland known for its well-preserved medieval architecture, including Kilkenny Castle and St. Canice's Cathedral.
-
E.
Clare, Ireland
Clare, Ireland is a historic market town in County Clare known for its traditional Irish culture and proximity to the River Fergus in western Ireland.
- F. None of above. chosen
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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b06ec4208190b9ed3484afd85852 |
completed | April 22, 2026, 11:26 a.m. |
Created at: April 16, 2026, 5:09 p.m.