Triple
T16464899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlow–Kilkenny |
E399903
|
entity |
| Predicate | hasMainSettlement |
P2106
|
FINISHED |
| Object | Carlow |
E688881
|
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: Carlow | Statement: [Carlow–Kilkenny, hasMainSettlement, Carlow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlow Context triple: [Carlow–Kilkenny, hasMainSettlement, Carlow]
-
A.
Carlow
chosen
Carlow is a town in southeast Ireland known as a regional commercial center with historical sites and educational institutions.
-
B.
Kilkenny
Kilkenny is a historic city in southeastern Ireland known for its well-preserved medieval architecture, including Kilkenny Castle and St. Canice's Cathedral.
-
C.
Kilkenny
Kilkenny is a residential suburb in the western metropolitan area of Adelaide, South Australia.
-
D.
Wicklow
Wicklow is a coastal county in eastern Ireland known for its mountainous landscapes, scenic coastline, and proximity to Dublin.
-
E.
Westmeath
Westmeath is a former township in Ontario, Canada, that later became part of the rural municipality known as Whitewater Region.
- 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_69d87f2dac988190b74d6e185fa88ba4 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32d841f348190958a25f35034edff |
completed | April 18, 2026, 7:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007d9e91f48190b83cefdd2b518082 |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:10 a.m.