Triple
T19117424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U Line |
E467940
|
entity |
| Predicate | isPartOf |
P10
|
FINISHED |
| Object | Uijeongbu Light Rail Transit |
—
|
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: Uijeongbu Light Rail Transit | Statement: [U Line, isPartOf, Uijeongbu Light Rail Transit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uijeongbu Light Rail Transit Context triple: [U Line, isPartOf, Uijeongbu Light Rail Transit]
-
A.
Uijeongbu Light Rail Transit
chosen
Uijeongbu Light Rail Transit is an automated light metro system serving the city of Uijeongbu in Gyeonggi Province, South Korea.
-
B.
Daejeon Metro
Daejeon Metro is the urban rapid transit system serving the city of Daejeon in South Korea.
-
C.
Daegu Metro
Daegu Metro is the urban rapid transit system serving the city of Daegu in South Korea, providing high-capacity rail transportation across the metropolitan area.
-
D.
Busan–Jinhae light rail
The Busan–Jinhae light rail is a regional urban rail transit line in South Korea that connects the cities of Busan and Jinhae, supporting commuter travel and development within the Busan–Jinhae Free Economic Zone.
-
E.
Gwangju Metro
Gwangju Metro is the urban rapid transit system serving the city of Gwangju in South Korea.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e399a6d8819090a9501ff1637b9d |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.