Triple
T8980527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Wyre |
E214512
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Garstang |
E333683
|
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: Garstang | Statement: [River Wyre, flowsThrough, Garstang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garstang Context triple: [River Wyre, flowsThrough, Garstang]
-
A.
Garstang
chosen
Garstang is a small historic market town in Lancashire, England, known for its rural charm and location between the River Wyre and the Forest of Bowland.
-
B.
Sharston
Sharston is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to other districts like Baguley and Wythenshawe.
-
C.
Lobethal
Lobethal is a small town in South Australia known for its German heritage and popular annual Christmas lights festival.
-
D.
Kincorth
Kincorth is a residential area in the south of Aberdeen, Scotland, known for its post-war housing and proximity to the River Dee.
-
E.
Graydon
Graydon is a surname of English and Irish origin borne by various notable individuals, including those in politics, sports, and the arts.
- 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_69ca839ea8b88190922c6a326ffcc0d3 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc67a615b081909b88e761be879802 |
completed | April 1, 2026, 12:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc9719f5c8190bc22c3c7375b54f7 |
completed | April 3, 2026, 2:06 p.m. |
Created at: March 30, 2026, 7:03 p.m.