Triple
T11552644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aston railway station |
E273933
|
entity |
| Predicate | hasDepartmentForTransportCategory |
P100094
|
FINISHED |
| Object | E |
—
|
LITERAL 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: E | Statement: [Aston railway station, hasDepartmentForTransportCategory, E]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDepartmentForTransportCategory Context triple: [Aston railway station, hasDepartmentForTransportCategory, E]
-
A.
hasTransportCategory
Indicates that one entity is classified under a particular category or type of transport associated with another entity.
-
B.
appliesToTransportFacilityType
Indicates that something is relevant or applicable specifically to a particular type or category of transport facility.
-
C.
hasTransportAuthority
Indicates that one entity holds official power or responsibility to manage, regulate, or oversee transportation services or infrastructure for another entity or area.
-
D.
hasTransportCode
Indicates that an entity is associated with a specific transport-related code used to identify or classify its mode, method, or details of transportation.
-
E.
hasCargoDivision
Indicates that an organization possesses a specific division or unit responsible for cargo-related operations or services.
- F. None of above. chosen
Provenance (4 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88a85b9ac8190a57c1fdaeacbe3d6 |
completed | April 10, 2026, 5:28 a.m. |
| PD | Predicate disambiguation | batch_69d8087e57b48190a4c253dc0210f9d4 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822f00a088190ac6b48e45e743899 |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:37 p.m.