Triple
T13249135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shortlands |
E315480
|
entity |
| Predicate | nearbyArea |
P2064
|
FINISHED |
| Object | Ravensbourne |
E531528
|
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: Ravensbourne | Statement: [Shortlands, nearbyArea, Ravensbourne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ravensbourne Context triple: [Shortlands, nearbyArea, Ravensbourne]
-
A.
Ravensbourne
chosen
Ravensbourne is a tributary of the River Thames in southeast London, flowing through the London Borough of Lewisham and surrounding areas.
-
B.
Harrow
Harrow is a suburban district in northwest London, England, known for its historic town center and the prestigious Harrow School.
-
C.
Harrow
Harrow is the surname of Canadian rapper, record producer, and music executive Kardinal Offishall.
-
D.
Brent and Harrow
Brent and Harrow is a London Assembly constituency in northwest London that covers the boroughs of Brent and Harrow and elects a representative to the London Assembly.
-
E.
Cranfield
Cranfield is a village in Bedfordshire, England, best known for hosting Cranfield University and its associated aerospace and technology facilities.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d9e7ea881908abc4b3a54896692 |
completed | April 10, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff37f7448190b9c555cae010d3b6 |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:24 p.m.