Triple
T21054304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyrconnell |
E518668
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Londonderry |
—
|
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: Londonderry | Statement: [Tyrconnell, borderedBy, Londonderry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Londonderry Context triple: [Tyrconnell, borderedBy, Londonderry]
-
A.
Londonderry
Londonderry is a small rural locality within Western Australia’s Shire of Coolgardie, historically associated with the Eastern Goldfields region.
-
B.
Londonderry
Londonderry is a town in southern New Hampshire, United States, known for its suburban character and historic apple orchards.
-
C.
Derry
chosen
Derry is a historic walled city in the northwest of Northern Ireland, known for its cultural heritage and significance in the region's political history.
-
D.
Belfast
Belfast is the capital and largest city of Northern Ireland, known for its historic shipbuilding industry, including the construction of the RMS Titanic, and its central role in the region’s political and cultural history.
-
E.
Belfast
Belfast is a small town in South Africa known for its agriculture, trout fishing, and proximity to major transport routes in Mpumalanga province.
- 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_69e0b5053ac48190921529544959e906 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fd7e087c81908712ddc63e8b1e6c |
completed | April 21, 2026, 4:30 a.m. |
Created at: April 16, 2026, 2:36 p.m.