Triple
T19447136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Causeway Coast and Glens district |
E486507
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Garvagh |
—
|
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: Garvagh | Statement: [Causeway Coast and Glens district, contains, Garvagh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garvagh Context triple: [Causeway Coast and Glens district, contains, Garvagh]
-
A.
Garvagh
chosen
Garvagh is a small village in Northern Ireland known for its historic main street and rural setting within County Londonderry.
-
B.
Airmagh
Airmagh is the Ulster Scots name for the city of Armagh in Northern Ireland, known for its religious and historical significance.
-
C.
Bellaghy
Bellaghy is a small village in Northern Ireland best known as the home of Nobel Prize–winning poet Seamus Heaney.
-
D.
Cullybackey
Cullybackey is a village in County Antrim, Northern Ireland, situated near Ballymena and known for its rural character and historic connections.
-
E.
Broughshane
Broughshane is a village in County Antrim, Northern Ireland, known for its award-winning floral displays and community spirit.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338b25d88190bc137a411576c73f |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.