Triple
T46163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Irwell |
E904
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Kersal |
E4141
|
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: Kersal | Statement: [River Irwell, flowsThrough, Kersal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kersal Context triple: [River Irwell, flowsThrough, Kersal]
-
A.
Ramsbottom
Ramsbottom is a small market town in Greater Manchester, England, known for its industrial heritage, scenic Irwell Valley setting, and preserved East Lancashire Railway.
-
B.
Bacup
Bacup is a small former mill town in Lancashire, England, known for its well-preserved Victorian architecture and industrial heritage in the South Pennines.
-
C.
Salford
chosen
Salford is a city in Greater Manchester, England, known for its industrial heritage and the modern MediaCityUK development on the Salford Quays.
-
D.
Kendal Green
Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
E.
Holworthy Hall
Holworthy Hall is one of Harvard University's historic freshman dormitories located in Harvard Yard.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24af153b08190b0875b86d591d473 |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a266e4c58c81909c75fea51ae16b48 |
completed | Feb. 28, 2026, 3:54 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.