Triple
T19768585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teheran-ro |
E474821
|
entity |
| Predicate | hasTransportConnection |
P845
|
FINISHED |
| Object | Yeoksam Station |
E1509600
|
NE 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: Yeoksam Station | Statement: [Teheran-ro, hasTransportConnection, Yeoksam Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yeoksam Station Context triple: [Teheran-ro, hasTransportConnection, Yeoksam Station]
-
A.
Yeoksam Station
chosen
Yeoksam Station is a major Seoul Metropolitan Subway station in the Gangnam business district, serving as a key transit hub for commuters and office workers.
-
B.
Yeonsu Station
Yeonsu Station is a subway station in Incheon, South Korea, serving the Yeonsu District on the Incheon Subway Line 1.
-
C.
Kwangmyong Station
Kwangmyong Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
D.
Daegok Station
Daegok Station is a railway station in South Korea that serves as an interchange point on Seoul’s metropolitan rail network, including the Gyeongui–Jungang Line.
-
E.
Sangbong Station
Sangbong Station is a major railway and subway transfer hub in northeastern Seoul, South Korea, connecting multiple metropolitan rail lines and serving as an important gateway for commuters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65359bb9881908f48282b63a83f2f |
completed | April 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c676bbdac8190807ad999c0bd6164 |
completed | May 19, 2026, 1:36 p.m. |
Created at: April 10, 2026, 1:48 p.m.