Triple
T83209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Irk |
E1672
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object |
Blackley
Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
|
E17502
|
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: Blackley | Statement: [River Irk, passesNear, Blackley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blackley Context triple: [River Irk, passesNear, Blackley]
-
A.
Kendal Green
Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
B.
Buckhaven
Buckhaven is a coastal town in eastern Scotland, situated on the Firth of Forth in the historic county of Fife.
-
C.
Castlefield
Castlefield is a historic urban area in Manchester, England, known for its preserved industrial heritage, canals, and Roman origins.
-
D.
Leigh
Leigh is a given name and surname of English origin, used for all genders and often considered a variant spelling of "Lee."
-
E.
Pendlebury
Pendlebury is a suburban area in the City of Salford, Greater Manchester, England, historically known for its coal mining and textile industries.
- 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: Blackley Triple: [River Irk, passesNear, Blackley]
Generated description
Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Blackley Target entity description: Blackley is a suburban area of Manchester, England, known for its residential neighborhoods and proximity to the River Irk and local green spaces.
-
A.
Kendal Green
Kendal Green is a commuter rail station in Weston, Massachusetts, served by the MBTA's Fitchburg Line.
-
B.
Buckhaven
Buckhaven is a coastal town in eastern Scotland, situated on the Firth of Forth in the historic county of Fife.
-
C.
Castlefield
Castlefield is a historic urban area in Manchester, England, known for its preserved industrial heritage, canals, and Roman origins.
-
D.
Leigh
Leigh is a given name and surname of English origin, used for all genders and often considered a variant spelling of "Lee."
-
E.
Pendlebury
Pendlebury is a suburban area in the City of Salford, Greater Manchester, England, historically known for its coal mining and textile industries.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f4ccb5081908decac81f4af01bf |
completed | Feb. 28, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2c271231c81909b92809bba7b52b2 |
completed | Feb. 28, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69a2c31404cc8190affc40340df43df2 |
completed | Feb. 28, 2026, 10:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a2c3728e648190af447c0f54f1bd5f |
completed | Feb. 28, 2026, 10:29 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.