Triple
T29555333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epping Ongar Railway |
E749887
|
entity |
| Predicate | doesNotCurrentlyServe |
P3875
|
FINISHED |
| Object | Blake Hall railway station |
—
|
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: Blake Hall railway station | Statement: [Epping Ongar Railway, doesNotCurrentlyServe, Blake Hall railway station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotCurrentlyServe Context triple: [Epping Ongar Railway, doesNotCurrentlyServe, Blake Hall railway station]
-
A.
doesNotServe
chosen
Indicates that one entity explicitly does not provide a service, function, or role to another entity.
-
B.
doesNotOperate
Indicates that an entity is not functioning, active, or performing its intended operation in relation to another entity or context.
-
C.
doesNotServeBorough
Indicates that a service, route, or entity explicitly does not operate in, cover, or provide service to the specified borough.
-
D.
doesNotProvideFor
Indicates that one entity fails or is not responsible for supplying support, resources, or necessary provisions to another entity.
-
E.
isServedAt
Indicates that something (such as food, drink, or a service) is provided or made available at a particular place or venue.
- 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f67257b0448190a13011af81c81449 |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 28, 2026, 5:15 p.m.