Triple
T19198459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dungiven |
E470034
|
entity |
| Predicate | hasNearbyVillage |
P4647
|
FINISHED |
| Object | Feeny |
—
|
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: Feeny | Statement: [Dungiven, hasNearbyVillage, Feeny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Feeny Context triple: [Dungiven, hasNearbyVillage, Feeny]
-
A.
Feeny
chosen
Feeny is a small village in County Londonderry, Northern Ireland, situated within the Causeway Coast and Glens district.
-
B.
Feeney
Feeney is an Irish-origin surname borne by various notable figures in fields such as film, sports, and public life.
-
C.
Freuchie
Freuchie is a small village in the Kingdom of Fife, Scotland, known for its rural character and historic cricket club.
-
D.
Fay
Fay is a surname of English and Irish origin borne by various notable individuals, including members of the Fay family such as Harriet Melusina Fay.
-
E.
Fay
Fay is a given name most famously associated with Canadian-American actress Fay Wray, the iconic star of the 1933 film "King Kong."
- 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_69e5f8a8daac8190b3558a1388596fb0 |
completed | April 20, 2026, 9:58 a.m. |
Created at: April 10, 2026, 12:07 p.m.