Triple
T19636529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N10 road |
E471411
|
entity |
| Predicate | hasTerminus |
P388
|
FINISHED |
| Object | Kilkenny city |
—
|
NE NERFINISHED |
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: Kilkenny city | Statement: [N10 road, hasTerminus, Kilkenny city]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kilkenny city Context triple: [N10 road, hasTerminus, Kilkenny city]
-
A.
Kilkenny
Kilkenny is a residential suburb in the western metropolitan area of Adelaide, South Australia.
-
B.
Kilkenny
chosen
Kilkenny is a historic city in southeastern Ireland known for its well-preserved medieval architecture, including Kilkenny Castle and St. Canice's Cathedral.
-
C.
Limerick City
Limerick City is a historic city in western Ireland, known for its medieval architecture, strategic location on the River Shannon, and role in key events of Irish history.
-
D.
Carlow
Carlow is a town in southeast Ireland known as a regional commercial center with historical sites and educational institutions.
-
E.
Cahir
Cahir is a historic town in County Tipperary, Ireland, best known for its well-preserved medieval castle on the River Suir.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641070528819085663c439f50148e |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.