Triple
T6713310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Limerick |
E153200
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Foynes |
E613528
|
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: Foynes | Statement: [County Limerick, contains, Foynes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foynes Context triple: [County Limerick, contains, Foynes]
-
A.
Foynes
chosen
Foynes is a village and port in County Limerick, Ireland, historically known as a key transatlantic seaplane base and as the birthplace of Irish coffee.
-
B.
Foix
Foix is a historic town in southwestern France known for its medieval castle and role as the former capital of the County of Foix.
-
C.
Foyle
Foyle is a parliamentary constituency in Northern Ireland centered on the city of Derry/Londonderry.
-
D.
Fluberg
Fluberg is a small village in Norway located near the shores of Randsfjorden, known for its rural landscape and lakeside setting.
-
E.
Fogn
Fogn is a small Norwegian island known for its agriculture and scenic coastal landscape.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d121a92c8190a03f384a8aba84da |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70af8a8bc81908a04683dbf3d7793 |
completed | March 27, 2026, 10:55 p.m. |
Created at: March 27, 2026, 2:07 p.m.