Triple
T4429739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Talbot Parkway railway station |
E95294
|
entity |
| Predicate | hasLongDistanceRole |
P42175
|
FINISHED |
| Object | links South Wales with London |
—
|
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: links South Wales with London | Statement: [Port Talbot Parkway railway station, hasLongDistanceRole, links South Wales with London]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLongDistanceRole Context triple: [Port Talbot Parkway railway station, hasLongDistanceRole, links South Wales with London]
-
A.
hasLongerReachThan
Indicates that one entity can extend, influence, or physically reach farther than another entity.
-
B.
hasCapitalRole
Indicates that an entity holds an official role, function, or status specifically associated with a capital city.
-
C.
hasCityRole
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
-
D.
hasRegionalRole
Indicates that an entity holds a specific role, function, or responsibility within a defined geographic region.
-
E.
longDistanceService
chosen
Indicates that a service operates over large geographic distances, typically connecting locations that are far apart rather than nearby.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35569b3388190bdef2568f5dc04ce |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:30 p.m.