Triple
T13204338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belfast suburban rail system |
E314319
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Lisburn |
E98722
|
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: Lisburn | Statement: [Belfast suburban rail system, connectsTo, Lisburn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisburn Context triple: [Belfast suburban rail system, connectsTo, Lisburn]
-
A.
Lisburn
chosen
Lisburn is a city in Northern Ireland known historically for its linen industry and located southwest of Belfast.
-
B.
Banbridge
Banbridge is a town in County Down, Northern Ireland, known historically for its linen industry and its location along the River Bann.
-
C.
Downpatrick
Downpatrick is a historic town in County Down, Northern Ireland, traditionally associated with Saint Patrick and serving as an important religious and administrative center in the region.
-
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.
Lurgan
Lurgan is a town in County Armagh, Northern Ireland, known historically for its linen industry and its proximity to Lough Neagh.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9961a48190a1157df47f59b7af |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7546b9ae081909f97fc4a06b8f927 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:17 p.m.