Triple
T12397621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Livery Street entrance |
E296157
|
entity |
| Predicate | associatedWithStationCode |
P1289
|
FINISHED |
| Object | BSW |
—
|
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: BSW | Statement: [Livery Street entrance, associatedWithStationCode, BSW]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithStationCode Context triple: [Livery Street entrance, associatedWithStationCode, BSW]
-
A.
associatedWithStationName
Indicates a relationship where something is linked or connected to a particular station identified by its name.
-
B.
associatedStation
Indicates a relationship where one entity is linked or connected to a particular station as its relevant or related station.
-
C.
associatedWithStationRole
Indicates that an entity has a connection or involvement with a specific role or function at a station.
-
D.
hasStationCode
chosen
Indicates that an entity is associated with a specific station identification code.
-
E.
associatedStationCategory
Indicates that one entity is linked to, or classified under, a particular category of station.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fd448f08190af425a569d7ed158 |
completed | April 10, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.