Triple
T25305772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London to Norwich main line |
E634477
|
entity |
| Predicate | majorTownServed |
P112697
|
FINISHED |
| Object | Chelmsford |
—
|
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: Chelmsford | Statement: [London to Norwich main line, majorTownServed, Chelmsford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorTownServed Context triple: [London to Norwich main line, majorTownServed, Chelmsford]
-
A.
townServed
Indicates that a given service, facility, or infrastructure serves or provides coverage to a particular town.
-
B.
majorIntermediateCityServed
chosen
Indicates that a major intermediate city lies along a route or corridor and is served by the associated service or infrastructure.
-
C.
modernCityServed
Indicates that a modern city receives services, support, or functions (such as transportation, utilities, or administration) from a specified provider or infrastructure.
-
D.
alternativeCityServed
Indicates that one city functions as an alternative service location for another city, typically in contexts like transportation or logistics.
-
E.
majorTownInRegion
Indicates that a town is one of the principal or most significant towns within a specified region.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 21, 2026, 1:25 p.m.