Triple
T785393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxford Road |
E16589
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Oxford Road Corridor innovation district |
E51952
|
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: Oxford Road Corridor innovation district | Statement: [Oxford Road, passesThrough, Oxford Road Corridor innovation district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxford Road Corridor innovation district Context triple: [Oxford Road, passesThrough, Oxford Road Corridor innovation district]
-
A.
Corridor Manchester innovation district
chosen
Corridor Manchester innovation district is a major innovation and knowledge hub in Manchester, centered around universities, research institutions, and tech businesses along and around Oxford Road.
-
B.
Cambridge Business Park
Cambridge Business Park is a major office and technology campus in Cambridge, England, hosting numerous high-tech, telecommunications, and business service companies within the broader Silicon Fen cluster.
-
C.
Cambridge Science Park
Cambridge Science Park is a major research and technology hub in Cambridge, England, hosting numerous high-tech companies and startups within the broader Silicon Fen cluster.
-
D.
Silicon Fen
Silicon Fen is the high-tech business and research cluster around Cambridge, England, known for its concentration of technology, software, and biotech companies.
-
E.
Cambridge Biomedical Campus
Cambridge Biomedical Campus is a major medical and life sciences hub in Cambridge, England, integrating leading hospitals, research institutes, and biotechnology companies.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a76b0d6c8190a09b1a0bd4a6eeec |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6733e47148190bad0ac71cf45dd85 |
completed | March 3, 2026, 5:35 a.m. |
Created at: March 1, 2026, 7:38 p.m.