Triple
T7622443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Independence Avenue SW & 7th Street SW |
E172531
|
entity |
| Predicate | hasCrosswalks |
P78164
|
FINISHED |
| Object | pedestrian crosswalks |
—
|
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: pedestrian crosswalks | Statement: [Independence Avenue SW & 7th Street SW, hasCrosswalks, pedestrian crosswalks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCrosswalks Context triple: [Independence Avenue SW & 7th Street SW, hasCrosswalks, pedestrian crosswalks]
-
A.
hasCrossStreets
Indicates that a location is situated at or near the intersection of the specified streets.
-
B.
hasMajorCrossing
Indicates that one entity has a significant or primary intersection or crossing with another entity.
-
C.
crossesStreet
Indicates that an entity moves from one side of a street to the other, traversing the street’s width.
-
D.
hasPedestrianOverpass
Indicates that there exists a pedestrian overpass connecting or spanning parts of the referenced location or infrastructure.
-
E.
hasMajorRailCrossing
Indicates that there is a significant railway crossing (such as a major rail line intersecting a road or another transport route) at or associated with the referenced location or entity.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fe73ff7c8190ab1218d97b37416d |
completed | March 27, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e725a88190b1f05dd224f7f4f2 |
completed | March 27, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69c6fe7323b0819081664662d2f26937 |
completed | March 27, 2026, 10:02 p.m. |
Created at: March 27, 2026, 3:56 p.m.