Triple
T46162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Irwell |
E904
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Agecroft
Agecroft is a district in Pendlebury, Greater Manchester, England, historically known for its industrial heritage and riverside location.
|
E10843
|
NE FINISHED |
How this triple was built (4 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: Agecroft | Statement: [River Irwell, flowsThrough, Agecroft]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agecroft Context triple: [River Irwell, flowsThrough, Agecroft]
-
A.
Kendal Green
Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
B.
Silver Hill
Silver Hill is a small commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
C.
The Lowry
The Lowry is a prominent arts and entertainment complex in Salford Quays, Greater Manchester, known for its theatres, galleries, and exhibitions of artist L. S. Lowry’s work.
-
D.
Tarry Town
Tarry Town is a fictional Hudson Valley village in Washington Irving’s “The Legend of Sleepy Hollow,” closely associated with the eerie, supernatural atmosphere surrounding Sleepy Hollow.
-
E.
Harrow Hill
Harrow Hill is a prominent elevated area in Harrow, London, known for its historic setting and association with the prestigious Harrow School.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Agecroft Triple: [River Irwell, flowsThrough, Agecroft]
Generated description
Agecroft is a district in Pendlebury, Greater Manchester, England, historically known for its industrial heritage and riverside location.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agecroft Target entity description: Agecroft is a district in Pendlebury, Greater Manchester, England, historically known for its industrial heritage and riverside location.
-
A.
Kendal Green
Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
B.
Silver Hill
Silver Hill is a small commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
C.
The Lowry
The Lowry is a prominent arts and entertainment complex in Salford Quays, Greater Manchester, known for its theatres, galleries, and exhibitions of artist L. S. Lowry’s work.
-
D.
Tarry Town
Tarry Town is a fictional Hudson Valley village in Washington Irving’s “The Legend of Sleepy Hollow,” closely associated with the eerie, supernatural atmosphere surrounding Sleepy Hollow.
-
E.
Harrow Hill
Harrow Hill is a prominent elevated area in Harrow, London, known for its historic setting and association with the prestigious Harrow School.
- F. None of above. chosen
Provenance (5 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_69a275df03dc81908c338b656feb9635 |
completed | Feb. 28, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69a2770e91e081908c717b4a449e0a3e |
completed | Feb. 28, 2026, 5:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a278a3b7f88190b10bf9d74cb68282 |
completed | Feb. 28, 2026, 5:09 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.