Triple
T18035042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 3rd Street/Convention Center station |
E431485
|
entity |
| Predicate | isNearIntersectionOf |
P49266
|
FINISHED |
| Object | East Trade Street and South College Street |
—
|
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: East Trade Street and South College Street | Statement: [3rd Street/Convention Center station, isNearIntersectionOf, East Trade Street and South College Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNearIntersectionOf Context triple: [3rd Street/Convention Center station, isNearIntersectionOf, East Trade Street and South College Street]
-
A.
hasNearbyCrossingPoint
chosen
Indicates that one location has a crossing point (such as a bridge, crosswalk, or intersection) situated close to it.
-
B.
hasNearbyPoint
Indicates that one entity has at least one other point located within a specified proximity or distance from it.
-
C.
isObservedNear
Indicates that one entity is detected or noticed in close spatial proximity to another entity.
-
D.
isNavigableNear
Indicates that an entity can be traversed or passed through in close proximity to another specified entity or location.
-
E.
hasAtGradeCrossingNearby
Indicates that one entity (typically a location or segment) has a nearby at-grade crossing where two transportation paths intersect at the same level.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be39a7348190a75735fe56c78fc3 |
completed | April 19, 2026, 11:36 a.m. |
| PD | Predicate disambiguation | batch_69e3f908da508190a088aa837ea5b7af |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:25 a.m.