Triple
T5250853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St. James station |
E118581
|
entity |
| Predicate | waitingRoomHeated |
P34898
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [St. James station, waitingRoomHeated, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waitingRoomHeated Context triple: [St. James station, waitingRoomHeated, yes]
-
A.
hasHeating
chosen
Indicates that an entity is equipped with or provides a heating system or heating capability.
-
B.
hasRoom
Indicates that an entity possesses, contains, or is associated with a specific room.
-
C.
hasWaitingArea
Indicates that an entity provides or includes a designated space where people can wait before receiving a service or proceeding to another area.
-
D.
trainHeating
Indicates that a train is equipped with or using a system to provide heating for its interior or its cars.
-
E.
amberRoomStatus
Indicates the current condition or state of the Amber Room in relation to its existence, location, or preservation.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b79ae0c81908a9b8614f6886259 |
completed | March 20, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69bd77c30bac8190a883ca45da35d667 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:50 p.m.