Triple
T2821844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chorlton-on-Medlock |
E54825
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Longsight |
E184455
|
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: Longsight | Statement: [Chorlton-on-Medlock, adjacentTo, Longsight]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longsight Context triple: [Chorlton-on-Medlock, adjacentTo, Longsight]
-
A.
Longsight
chosen
Longsight is a residential district in Manchester, England, known for its diverse community, busy market, and proximity to the city centre.
-
B.
Cloudesley
Cloudesley is a lesser-known 1830 novel by William Godwin that explores themes of inheritance, identity, and moral responsibility within a Gothic-influenced narrative.
-
C.
Gazeley
Gazeley is a small village and civil parish located in the county of Suffolk in eastern England.
-
D.
Ramsden
Ramsden is a small rural village in the West Oxfordshire district of England, known for its traditional Cotswold character and surrounding countryside.
-
E.
Winston Lights
Winston Lights is a lighter-tar, lower-nicotine variant of the Winston brand of cigarettes marketed as a milder smoking option.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde704af88190a132626acc99745f |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afceaa45e88190a9007885cf7868ef |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:59 p.m.