Triple
T25712169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fen Line between Cambridge and King's Lynn |
E644761
|
entity |
| Predicate | linksUrbanArea |
P80197
|
FINISHED |
| Object | Cambridge urban area |
—
|
NE NERFINISHED |
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: Cambridge urban area | Statement: [Fen Line between Cambridge and King's Lynn, linksUrbanArea, Cambridge urban area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linksUrbanArea Context triple: [Fen Line between Cambridge and King's Lynn, linksUrbanArea, Cambridge urban area]
-
A.
relatedUrbanArea
Indicates that one urban area is geographically or functionally associated with another urban area, such as being nearby, connected, or part of the same broader metropolitan context.
-
B.
linksMetropolitanArea
chosen
Indicates a relationship where one entity connects or associates a subject with a specific metropolitan area.
-
C.
formsUrbanAreaWith
Indicates that two or more settlements are geographically and functionally connected so that together they constitute a single continuous urban area.
-
D.
coversUrbanAreas
Indicates that something extends over, includes, or provides coverage for urban or metropolitan areas.
-
E.
nearestLargeUrbanArea
Indicates that one entity is the closest major city or large urban center to the other entity.
- F. None of above.
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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f600c18a14819081b5914dd3b0f9cf |
completed | May 2, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 21, 2026, 9:17 p.m.