Triple
T26431351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacific Highway South (south King County) |
E664516
|
entity |
| Predicate | hasAdjacentMode |
P18252
|
FINISHED |
| Object | pedestrian facilities in some segments |
—
|
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 facilities in some segments | Statement: [Pacific Highway South (south King County), hasAdjacentMode, pedestrian facilities in some segments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAdjacentMode Context triple: [Pacific Highway South (south King County), hasAdjacentMode, pedestrian facilities in some segments]
-
A.
hasAdjacentUse
Indicates that one entity is used or occurs directly next to another in space, time, or sequence.
-
B.
hasNearbyMode
chosen
Indicates that one entity has another entity located close enough to be considered in its immediate vicinity or surrounding area.
-
C.
hasAdjacentRole
Indicates that one role is positioned directly next to or alongside another role within a defined structure or sequence.
-
D.
hasAdjacentStationOnM
Indicates that one station is directly next to another station along metro line M, with no other stations in between.
-
E.
hasAdjacencyType
Indicates that one entity is related to another by a specific kind or category of adjacency (e.g., how they are positioned or connected next to each other).
- 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 26, 2026, 11:49 p.m.