Triple
T20133096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seoul Subway Line 7 |
E490948
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Ui LRT |
—
|
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: Ui LRT | Statement: [Seoul Subway Line 7, connectsTo, Ui LRT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ui LRT Context triple: [Seoul Subway Line 7, connectsTo, Ui LRT]
-
A.
Ui LRT
chosen
Ui LRT is a light rail transit line in northern Seoul that operates as part of the Seoul Metropolitan Subway network.
-
B.
LRT
LRT is a light rail transit system providing urban passenger rail service, typically operating on dedicated tracks with frequent stops in metropolitan areas.
-
C.
STAR LRT
STAR LRT was the original name of a Kuala Lumpur light rail transit system that later became known as the Ampang Line.
-
D.
SacRT Light Rail
SacRT Light Rail is the electric light rail transit system serving Sacramento, California and its surrounding communities.
-
E.
LRT Kelana Jaya Line
The LRT Kelana Jaya Line is a major automated light rapid transit line serving Kuala Lumpur and its surrounding areas, forming a key component of the city's urban rail network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66763ee908190af64af31b4ca2377 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.