Triple
T18977008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alston Moor |
E464320
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Alston |
—
|
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: Alston | Statement: [Alston Moor, containsSettlement, Alston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alston Context triple: [Alston Moor, containsSettlement, Alston]
-
A.
Alston
chosen
Alston is a small historic market town in Cumbria, England, known for its scenic Pennine landscape and claim to be one of the highest market settlements in the country.
-
B.
Morganton
Morganton is a small city in Burke County, North Carolina, known as a regional hub in the foothills of the Blue Ridge Mountains with a historic downtown and proximity to outdoor recreation.
-
C.
Morganton
Morganton is a small town located in Fannin County in the mountainous region of northern Georgia, United States.
-
D.
Lenoir
Lenoir is a French-origin surname borne by various notable individuals in fields such as politics, science, and the arts.
-
E.
Elkin
Elkin is a given name shared by various individuals, including figures in politics, arts, and other fields.
- 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_69d8dd008af48190a97ff1c6488edf1b |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d620bba48190a300dba9733592b0 |
completed | April 20, 2026, 7:30 a.m. |
Created at: April 10, 2026, noon