Triple
T19195104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballyragget |
E469944
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Kilkenny |
—
|
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 | Statement: [Ballyragget, nearbyTown, Kilkenny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kilkenny Context triple: [Ballyragget, nearbyTown, Kilkenny]
-
A.
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.
-
B.
Kilkenny
Kilkenny is a residential suburb in the western metropolitan area of Adelaide, South Australia.
-
C.
Carlow
Carlow is a town in southeast Ireland known as a regional commercial center with historical sites and educational institutions.
-
D.
Kildare
Kildare is a historic town in eastern Ireland known for its early Christian heritage, horse racing traditions, and association with Saint Brigid.
-
E.
Athlone
Athlone is a major Irish town in the Midlands, known for its strategic location, historic castle, and role as a key crossing point between the east and west of Ireland.
- 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f8a4d6b4819083fc5dd4dab05811 |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 10, 2026, 12:07 p.m.