Triple
T21035911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strabane |
E518188
|
entity |
| Predicate | postalTown |
P2711
|
FINISHED |
| Object | STRABANE |
—
|
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: STRABANE | Statement: [Strabane, postalTown, STRABANE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: STRABANE Context triple: [Strabane, postalTown, STRABANE]
-
A.
Strabane
chosen
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.
-
B.
Cookstown
Cookstown is a market town in County Tyrone, Northern Ireland, known historically for its long main street and role as a local commercial center.
-
C.
Lurgan
Lurgan is a town in County Armagh, Northern Ireland, known historically for its linen industry and its proximity to Lough Neagh.
-
D.
Navan
Navan is a town in County Meath, Ireland, known historically as a market and mining center and now a growing commuter hub for Dublin.
-
E.
Navan
Navan is a small community located within Russell County in the Canadian province of Ontario.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc865ca88190abf336ee9012fa77 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 2:02 p.m.