Triple
T6713298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Limerick |
E153200
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object |
Askeaton
Askeaton is a historic town in western Ireland known for its medieval castle ruins and Franciscan friary along the River Deel.
|
E616368
|
NE FINISHED |
How this triple was built (4 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: Askeaton | Statement: [County Limerick, hasTown, Askeaton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Askeaton Context triple: [County Limerick, hasTown, Askeaton]
-
A.
Mitchelstown
Mitchelstown is a market town in north County Cork, Ireland, known historically for its agricultural hinterland and proximity to the Galtee Mountains.
-
B.
Clonmel
Clonmel is a historic town in County Tipperary, Ireland, known for its strategic location and notable role in Irish military and political history.
-
C.
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.
-
D.
Granard
Granard is a small market town in north County Longford, Ireland, known for its historic motte-and-bailey fort and rural surroundings.
-
E.
Dungarvan
Dungarvan is a coastal town in County Waterford, Ireland, known for its harbor, historic architecture, and scenic setting along the southeast coast.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Askeaton Triple: [County Limerick, hasTown, Askeaton]
Generated description
Askeaton is a historic town in western Ireland known for its medieval castle ruins and Franciscan friary along the River Deel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Askeaton Target entity description: Askeaton is a historic town in western Ireland known for its medieval castle ruins and Franciscan friary along the River Deel.
-
A.
Mitchelstown
Mitchelstown is a market town in north County Cork, Ireland, known historically for its agricultural hinterland and proximity to the Galtee Mountains.
-
B.
Clonmel
Clonmel is a historic town in County Tipperary, Ireland, known for its strategic location and notable role in Irish military and political history.
-
C.
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.
-
D.
Granard
Granard is a small market town in north County Longford, Ireland, known for its historic motte-and-bailey fort and rural surroundings.
-
E.
Dungarvan
Dungarvan is a coastal town in County Waterford, Ireland, known for its harbor, historic architecture, and scenic setting along the southeast coast.
- F. None of above. chosen
Provenance (5 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d121a92c8190a03f384a8aba84da |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70af8a8bc81908a04683dbf3d7793 |
completed | March 27, 2026, 10:55 p.m. |
| NEDg | Description generation | batch_69c70ba06a5c81909b65b52d21d37104 |
completed | March 27, 2026, 10:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70c755054819087d0db6f94d69eae |
completed | March 27, 2026, 11:02 p.m. |
Created at: March 27, 2026, 2:07 p.m.