Triple
T5849676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunoon |
E129996
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | DUNOON |
E129996
|
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: DUNOON | Statement: [Dunoon, hasPostTown, DUNOON]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DUNOON Context triple: [Dunoon, hasPostTown, DUNOON]
-
A.
Dunoon
chosen
Dunoon is a coastal town and former resort on the Cowal peninsula in Argyll and Bute, western Scotland.
-
B.
Doud
Doud is the maiden surname of Mamie Eisenhower, the First Lady of the United States during Dwight D. Eisenhower’s presidency.
-
C.
Manche
Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
-
D.
Dounby
Dounby is a small village on Mainland, Orkney, known as a local service and agricultural center for the surrounding rural community.
-
E.
Seabreeze
Seabreeze was a former neighboring city to Daytona Beach, Florida, that was eventually incorporated into the larger Daytona Beach municipality.
- 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_69c0084de39081909eb34e6bed74215a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03515dc0c81908797a9713f1a603f |
completed | March 22, 2026, 6:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1b052288190ace51e65f1d888ab |
completed | March 23, 2026, 2:13 a.m. |
Created at: March 22, 2026, 3:55 p.m.