Triple
T37849573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Washington Memorial Bridge |
E944004
|
entity |
| Predicate | neighborhoodOnSouthEnd |
P29699
|
FINISHED |
| Object | Queen Anne, Seattle |
—
|
NE NERFINISHED |
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: Queen Anne, Seattle | Statement: [George Washington Memorial Bridge, neighborhoodOnSouthEnd, Queen Anne, Seattle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neighborhoodOnSouthEnd Context triple: [George Washington Memorial Bridge, neighborhoodOnSouthEnd, Queen Anne, Seattle]
-
A.
neighborhoodOnNorthEnd
Indicates that one neighborhood is located on the northern end of another area or region.
-
B.
neighboringSuburbSouthwest
Indicates that one suburb is located directly to the southwest and shares a boundary with another suburb.
-
C.
neighboringSuburbSouth
Indicates that one suburb is directly to the south of, and adjacent to, another suburb.
-
D.
neighboringSuburbSoutheast
Indicates that one suburb is located directly southeast of and shares a boundary with another suburb.
-
E.
southSideLocatedIn
chosen
Indicates that one entity is located on the southern side or in the southern part of another entity.
- 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_69f76eed4d9c81908b1b71ba9e3b61fe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc995dc2481908b3bd4217f8101e7 |
completed | May 6, 2026, 11:07 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ee04f08190977b7ad70fc85896 |
completed | May 6, 2026, 11:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.