Triple
T3542237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4th and King station |
E74912
|
entity |
| Predicate | hasRamps |
P3790
|
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: [4th and King station, hasRamps, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRamps Context triple: [4th and King station, hasRamps, yes]
-
A.
hasStairway
Indicates that one entity includes or is connected to another entity by a stairway providing vertical access between levels.
-
B.
hasSpiralRampLength
Indicates the length measurement of a spiral-shaped ramp in the relationship.
-
C.
hasStepFreeAccess
chosen
Indicates that a location, facility, or route can be accessed without using stairs, typically via ramps, lifts, or level entrances.
-
D.
hasIncline
Indicates that one entity possesses or exhibits a slope, tilt, or upward/downward angle relative to another reference.
-
E.
hasElevatedSidewalkSystem
Indicates that a place features a network of sidewalks or walkways that are raised above ground level, typically connecting buildings or areas without using street-level paths.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf73c5e881909a8352512928377b |
completed | March 8, 2026, 6:26 p.m. |
| PD | Predicate disambiguation | batch_69adae15749881909b847c6ca73c934e |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:20 p.m.