Triple
T8091922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith–Ninth Streets |
E188885
|
entity |
| Predicate | hasStairsToStreet |
P22592
|
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: [Smith–Ninth Streets, hasStairsToStreet, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStairsToStreet Context triple: [Smith–Ninth Streets, hasStairsToStreet, yes]
-
A.
hasStairway
chosen
Indicates that one entity includes or is connected to another entity by a stairway providing vertical access between levels.
-
B.
hasStairsFacing
Indicates that one set of stairs is oriented toward or directly faces another object or direction.
-
C.
numberOfStairs
Indicates the quantity of stairs associated with or present in a given context or structure.
-
D.
hasSidewalk
Indicates that a location, path, or roadway is accompanied by a designated sidewalk area for pedestrian use.
-
E.
hasStepFreeAccess
Indicates that a location, facility, or route can be accessed without using stairs, typically via ramps, lifts, or level entrances.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42217a1881909792b08a2f06fb75 |
completed | March 31, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69cb04a14cd88190a79ed26cbeec1c33 |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:30 p.m.