Triple
T24362965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University Heights Bridge |
E614113
|
entity |
| Predicate | hasNumberOfSidewalks |
P155920
|
FINISHED |
| Object | two |
—
|
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: two | Statement: [University Heights Bridge, hasNumberOfSidewalks, two]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfSidewalks Context triple: [University Heights Bridge, hasNumberOfSidewalks, two]
-
A.
hasSidewalk
Indicates that a location, path, or roadway is accompanied by a designated sidewalk area for pedestrian use.
-
B.
hasLimitedSidewalks
Indicates that the location has sidewalks that are sparse, incomplete, or insufficient in coverage or width.
-
C.
hasSidewalkType
Indicates the specific kind or classification of sidewalk associated with a given location or pathway.
-
D.
hasSidewalkUse
Indicates that a sidewalk is designated or permitted for a particular type of use or activity.
-
E.
hasSidewalkMaterial
Indicates that a sidewalk is composed of, or constructed using, a specified material.
- F. None of above. chosen
Provenance (4 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29385d0d48190b04154fcc3efe49a |
completed | April 29, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28f4d978c81908310c01def2514cc |
completed | April 29, 2026, 11:07 p.m. |
Created at: April 18, 2026, 2 a.m.