Triple
T10804229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Wicklow |
E254922
|
entity |
| Predicate | hasCountyTown |
P383
|
FINISHED |
| Object | Wicklow |
E896456
|
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: Wicklow | Statement: [County Wicklow, hasCountyTown, Wicklow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wicklow Context triple: [County Wicklow, hasCountyTown, Wicklow]
-
A.
Wicklow
chosen
Wicklow is a coastal county in eastern Ireland known for its mountainous landscapes, scenic coastline, and proximity to Dublin.
-
B.
Kildare
Kildare is a historic town in eastern Ireland known for its early Christian heritage, horse racing traditions, and association with Saint Brigid.
-
C.
Westmeath
Westmeath is a former township in Ontario, Canada, that later became part of the rural municipality known as Whitewater Region.
-
D.
Carlow
Carlow is a town in southeast Ireland known as a regional commercial center with historical sites and educational institutions.
-
E.
Dublin County
Dublin County was a former parliamentary constituency in Ireland that elected representatives to the UK Parliament and later to Dáil Éireann, covering the rural and suburban areas surrounding the city of Dublin.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d73370e7388190885b104fc883456e |
completed | April 9, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4417f4dfc8190bd50cec0bc52a9cc |
completed | April 19, 2026, 2:44 a.m. |
Created at: April 8, 2026, 9:18 p.m.