Triple
T17758880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Maine |
E443315
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Ballymena |
E182588
|
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: Ballymena | Statement: [River Maine, flowsThrough, Ballymena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ballymena Context triple: [River Maine, flowsThrough, Ballymena]
-
A.
Ballymena
chosen
Ballymena is a town in County Antrim, Northern Ireland, known as the birthplace of actor Liam Neeson and for its historic market and surrounding rural landscapes.
-
B.
Ballyclare
Ballyclare is a small town in County Antrim, Northern Ireland, known for its local football culture and community-centered character.
-
C.
Ballymoney
Ballymoney is a small town in County Antrim, Northern Ireland, known for its historic market center and transport links between Belfast and Derry.
-
D.
Carrickfergus
Carrickfergus is a historic coastal town in Northern Ireland, best known for its well-preserved medieval castle on the shores of Belfast Lough.
-
E.
Lisburn
Lisburn is a city in Northern Ireland known historically for its linen industry and located southwest of Belfast.
- 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48420ad188190aeb0f4ec1d23ee5c |
completed | April 19, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fa3e4f4819098f1f7bc1f50f985 |
completed | May 14, 2026, 10:10 a.m. |
Created at: April 10, 2026, 10:10 a.m.