Triple
T23046591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doonbeg |
E573892
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Kilkee |
—
|
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: Kilkee | Statement: [Doonbeg, hasNearbySettlement, Kilkee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kilkee Context triple: [Doonbeg, hasNearbySettlement, Kilkee]
-
A.
Kilkee
chosen
Kilkee is a small coastal resort town on Ireland’s west coast, known for its scenic bay, beaches, and popularity as a holiday destination.
-
B.
Kilkea
Kilkea is a small village in County Kildare, Ireland, best known for its historic medieval castle and surrounding rural landscape.
-
C.
Kexholm
Kexholm was a historic fortress town and surrounding region in the Karelian Isthmus, strategically contested between Sweden and Russia in the early modern period.
-
D.
Keilaniemi
Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
-
E.
Hämeenkyrö
Hämeenkyrö is a rural municipality in the Pirkanmaa region of western Finland, known for its scenic lake landscapes and traditional Finnish countryside.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f185192754819093a87d23371e7bbc |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:54 p.m.