Triple
T6903354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haeundae Traditional Market |
E159545
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Haeundae Station |
E197048
|
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: Haeundae Station | Statement: [Haeundae Traditional Market, near, Haeundae Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haeundae Station Context triple: [Haeundae Traditional Market, near, Haeundae Station]
-
A.
Seocho Station
Seocho Station is a subway station in southern Seoul, South Korea, serving as a transit hub for commuters in the Seocho area.
-
B.
Yeongdeungpo Station
Yeongdeungpo Station is a major railway and subway interchange in Seoul, South Korea, serving as an important transportation and commercial hub for the Yeongdeungpo area.
-
C.
Yeonsan Station
chosen
Yeonsan Station is a major transit hub in Busan, South Korea, serving as an important interchange point on the city’s subway network.
-
D.
Yeouido Station
Yeouido Station is a major Seoul Metropolitan Subway station on Yeouido Island that serves as a key transit hub for the city’s financial and business district.
-
E.
Dongnae Station
Dongnae Station is a major subway station in Busan, South Korea, serving as an important transit hub within the city's metro 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d988a5b48190a9238047e86f314c |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748f6640481908b74903a47e1eb18 |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:25 p.m.