Triple
T28193913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suseo |
E716386
|
entity |
| Predicate | hasNearbyExpresswayAccess |
P12245
|
FINISHED |
| Object | Seoul Ring Expressway |
—
|
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: Seoul Ring Expressway | Statement: [Suseo, hasNearbyExpresswayAccess, Seoul Ring Expressway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyExpresswayAccess Context triple: [Suseo, hasNearbyExpresswayAccess, Seoul Ring Expressway]
-
A.
hasExpresswaySection
Indicates that an entity includes, contains, or is associated with a specific section or segment of an expressway.
-
B.
connectsToHighway
chosen
Indicates that one location, road, or route has a direct access point or linkage to a highway.
-
C.
hasMajorHighway
Indicates that a location or area is served by or directly connected to a major highway route.
-
D.
hasExpressLanes
Indicates that a roadway or transportation facility includes designated express lanes for faster or prioritized travel.
-
E.
motorwayJunctionNearby
Indicates that a motorway junction is located close to the referenced 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fd67191cf88190b53ecbf5be3564e9 |
completed | May 8, 2026, 4:31 a.m. |
| PD | Predicate disambiguation | batch_69fd654fdaac81908e67e75194710f06 |
completed | May 8, 2026, 4:23 a.m. |
Created at: April 27, 2026, 10:26 p.m.