Triple
T24782803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prytania Street and Coliseum Street |
E620043
|
entity |
| Predicate | sidewalkType |
P143474
|
FINISHED |
| Object | oak-lined sidewalks |
—
|
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: oak-lined sidewalks | Statement: [Prytania Street and Coliseum Street, sidewalkType, oak-lined sidewalks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sidewalkType Context triple: [Prytania Street and Coliseum Street, sidewalkType, oak-lined sidewalks]
-
A.
hasSidewalkType
chosen
Indicates the specific kind or classification of sidewalk associated with a given location or pathway.
-
B.
hasSidewalkMaterial
Indicates that a sidewalk is composed of, or constructed using, a specified material.
-
C.
hasSidewalk
Indicates that a location, path, or roadway is accompanied by a designated sidewalk area for pedestrian use.
-
D.
walkwayType
Indicates the specific kind or classification of a walkway associated with an entity (e.g., sidewalk, footpath, boardwalk).
-
E.
streetMaterial
Indicates the material composition from which a street or road surface is made.
- 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_69e2fabdbe8c8190adbb9434b8636cad |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410d7fe908190b669acafdbee766a |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:45 a.m.