Triple
T12423951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Kerry |
E296850
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Castleisland
Castleisland is a market town in County Kerry, Ireland, known for its long main street and role as a local commercial and agricultural center.
|
E980514
|
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: Castleisland | Statement: [County Kerry, containsTown, Castleisland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castleisland Context triple: [County Kerry, containsTown, Castleisland]
-
A.
Balbriggan
Balbriggan is a coastal town in north County Dublin, Ireland, known for its fishing harbour, beaches, and growing commuter population.
-
B.
Cashel
Cashel is a former parliamentary constituency in Ireland that was once represented in the British Parliament by statesman Sir Robert Peel.
-
C.
Wexford
Wexford is a historic coastal town in County Wexford, Ireland, known for its medieval heritage and role in events such as the 1649 siege during the Cromwellian conquest.
-
D.
Waterford
Waterford is a small incorporated city located in Stanislaus County in California’s Central Valley.
-
E.
Waterford
Waterford is a historic port city in southeast Ireland, renowned as the country’s oldest city and for its traditional crystal glassmaking.
- 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: Castleisland Triple: [County Kerry, containsTown, Castleisland]
Generated description
Castleisland is a market town in County Kerry, Ireland, known for its long main street and role as a local commercial and agricultural center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Castleisland Target entity description: Castleisland is a market town in County Kerry, Ireland, known for its long main street and role as a local commercial and agricultural center.
-
A.
Balbriggan
Balbriggan is a coastal town in north County Dublin, Ireland, known for its fishing harbour, beaches, and growing commuter population.
-
B.
Cashel
Cashel is a former parliamentary constituency in Ireland that was once represented in the British Parliament by statesman Sir Robert Peel.
-
C.
Wexford
Wexford is a historic coastal town in County Wexford, Ireland, known for its medieval heritage and role in events such as the 1649 siege during the Cromwellian conquest.
-
D.
Waterford
Waterford is a small incorporated city located in Stanislaus County in California’s Central Valley.
-
E.
Waterford
Waterford is a small town and village in eastern New York State, known as the eastern terminus of the Erie Canal and its historic canal locks.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d7b6bd08190b30beba393a5b1e7 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6349716fc8190997b54a50d29827a |
completed | May 2, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69f6356c21908190b34d1324da8f8052 |
completed | May 2, 2026, 5:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63693f5c881909a9683a0c6a68739 |
completed | May 2, 2026, 5:38 p.m. |
Created at: April 8, 2026, 9:55 p.m.