Triple
T12274006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TOB |
E292542
|
entity |
| Predicate | stationRole |
P55401
|
FINISHED |
| Object | interchange station code |
—
|
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: interchange station code | Statement: [TOB, stationRole, interchange station code]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationRole Context triple: [TOB, stationRole, interchange station code]
-
A.
stationType
Indicates the specific category or classification of a station based on its function, services, or operational characteristics.
-
B.
stationName
Indicates the name assigned to a particular station in the relationship.
-
C.
roleInFruitvaleStation
Indicates that an entity had a specific role or involvement in the film "Fruitvale Station."
-
D.
stationOnLine
Indicates that a particular station is located on or served by a specific transit line.
-
E.
associatedWithStationRole
chosen
Indicates that an entity has a connection or involvement with a specific role or function at a 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9380a5e78819086bd4dfe9a83d1f5 |
completed | April 10, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69d91c4a66cc819083ce6fcaf5042af6 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.