Triple
T10411436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pendre railway station |
E245399
|
entity |
| Predicate | hasDepotRole |
P86339
|
FINISHED |
| Object | main engineering base of the Talyllyn Railway |
—
|
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: main engineering base of the Talyllyn Railway | Statement: [Pendre railway station, hasDepotRole, main engineering base of the Talyllyn Railway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDepotRole Context triple: [Pendre railway station, hasDepotRole, main engineering base of the Talyllyn Railway]
-
A.
hasAdjacentDepot
Indicates that one entity has a depot located directly next to or adjoining it.
-
B.
depotFor
chosen
Indicates that one entity serves as a storage or distribution center location dedicated to supporting or supplying another entity.
-
C.
hasDepartmentSeatRole
Indicates that an entity holds a specific role or position associated with a seat in a particular department.
-
D.
hasCargoRole
Indicates that an entity participates in a cargo-related capacity or function within a transport, shipment, or logistics context.
-
E.
hasCustodyRole
Indicates that one entity holds a specific custodial responsibility or role in relation to another 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9fc72d081908d81c71133973daf |
completed | April 7, 2026, 11:26 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb6f160819090040644a12395ec |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:09 p.m.