Triple
T34306748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Route 20 |
E880331
|
entity |
| Predicate | spansFromRegion |
P178877
|
FINISHED |
| Object | Pacific Northwest |
—
|
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: Pacific Northwest | Statement: [U.S. Route 20, spansFromRegion, Pacific Northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spansFromRegion Context triple: [U.S. Route 20, spansFromRegion, Pacific Northwest]
-
A.
spansTo
Indicates that one entity extends across or covers a continuous range up to another entity or boundary.
-
B.
baySpanned
Indicates that a structure or feature extends across and covers the width of a bay.
-
C.
startsInRegion
Indicates that an entity’s starting point or initial location lies within a specified region.
-
D.
rangeRegion
Indicates that one entity defines or corresponds to the spatial or conceptual region over which another entity extends or is applicable.
-
E.
leafSpan
Indicates the extent or range covered by a leaf, such as its length, width, or overall spread.
- 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_69f349b8bb6c8190ad12a7957a574f04 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71782422c81908196d5e4a610cb1a |
completed | May 3, 2026, 9:38 a.m. |
Created at: May 1, 2026, 1:57 a.m.