Triple
T23672004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASR |
E584755
|
entity |
| Predicate | representsStationType |
P27765
|
FINISHED |
| Object | junction station |
—
|
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: junction station | Statement: [ASR, representsStationType, junction station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsStationType Context triple: [ASR, representsStationType, junction station]
-
A.
hasStationTypeAt
Indicates that a specific type of station is present or assigned at a particular location or point.
-
B.
stationType
chosen
Indicates the specific category or classification of a station based on its function, services, or operational characteristics.
-
C.
railwayStationInstanceOf
Indicates that a given railway station is an instance of a specified class or type of railway station.
-
D.
servesStationType
Indicates that an entity provides service to, or operates in connection with, a particular type or category of station.
-
E.
hasStationCodeRole
Indicates that an entity holds or is assigned a specific role associated with a station code within a system or context.
- 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_69e24901421881908c17a5293bdd4a8e |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b41002f881908cd744ed44b70f5d |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.