Triple
T7551470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nampo-dong commercial area |
E178543
|
entity |
| Predicate | publicTransitAccess |
P1288
|
FINISHED |
| Object | Jagalchi Station |
E159716
|
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: Jagalchi Station | Statement: [Nampo-dong commercial area, publicTransitAccess, Jagalchi Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jagalchi Station Context triple: [Nampo-dong commercial area, publicTransitAccess, Jagalchi Station]
-
A.
Jagalchi Station
chosen
Jagalchi Station is a subway station in Busan, South Korea, serving the bustling Jagalchi Fish Market area and nearby downtown attractions.
-
B.
Samhung Station
Samhung Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
C.
Kwangbok Station
Kwangbok Station is a stop on the Pyongyang Metro system in North Korea, serving passengers along one of the capital’s main underground transit lines.
-
D.
Jonu Station
Jonu Station is a stop on the Pyongyang Metro system in North Korea, serving passengers on one of the capital’s main urban rail lines.
-
E.
Nokdong Station
Nokdong Station is a metro station on the Gwangju Metro system in Gwangju, South Korea, serving local commuters and connecting them to the city’s urban rail network.
- 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_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8b6c6488190b8fd94aca6ea8486 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870741e2481909020633203003a68 |
completed | March 29, 2026, 12:21 a.m. |
Created at: March 27, 2026, 3:49 p.m.