Triple
T20095381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magherafelt |
E496385
|
entity |
| Predicate | postalTown |
P2711
|
FINISHED |
| Object | MAGHERAFELT |
—
|
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: MAGHERAFELT | Statement: [Magherafelt, postalTown, MAGHERAFELT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MAGHERAFELT Context triple: [Magherafelt, postalTown, MAGHERAFELT]
-
A.
Magherafelt
chosen
Magherafelt is a market town in Northern Ireland that serves as an important local commercial and administrative center within County Londonderry.
-
B.
Lurgan
Lurgan is a town in County Armagh, Northern Ireland, known historically for its linen industry and its proximity to Lough Neagh.
-
C.
Strabane
Strabane is a town in western Northern Ireland situated near the border with the Republic of Ireland, historically known for its linen industry and cross-border connections.
-
D.
Augher
Augher is a small village in County Tyrone, Northern Ireland, known for its rural setting and proximity to the historic town of Clogher.
-
E.
Town of Enniskillen
The Town of Enniskillen is a small rural municipality in southwestern Ontario, Canada, known historically for its role in the early Canadian oil industry.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666b891c8190b4e4a60b73728771 |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:24 p.m.