Triple
T10093741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asan |
E215809
|
entity |
| Predicate | hasTransportation |
P105
|
FINISHED |
| Object |
Asan Station
Asan Station is a railway station in Asan, South Korea, serving as a regional transit hub connecting local and intercity rail services.
|
E1006516
|
NE FINISHED |
How this triple was built (4 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: Asan Station | Statement: [Asan, hasTransportation, Asan Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asan Station Context triple: [Asan, hasTransportation, Asan Station]
-
A.
Chonu Station
Chonu Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
B.
Sajik Station
Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
C.
Sasang Station
Sasang Station is a major railway and subway interchange in Busan, South Korea, serving as a key transit hub for both local and intercity travel.
-
D.
Dorasan Station
Dorasan Station is a symbolic railway station in South Korea near the Demilitarized Zone, built as a hopeful future gateway for rail travel and trade between South and North Korea.
-
E.
Nopo Station
Nopo Station is a major subway and bus terminal in Busan, South Korea, serving as a key transportation hub for the northeastern part of the city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Asan Station Triple: [Asan, hasTransportation, Asan Station]
Generated description
Asan Station is a railway station in Asan, South Korea, serving as a regional transit hub connecting local and intercity rail services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asan Station Target entity description: Asan Station is a railway station in Asan, South Korea, serving as a regional transit hub connecting local and intercity rail services.
-
A.
Chonu Station
Chonu Station is a stop on the Pyongyang Metro system in North Korea’s capital city.
-
B.
Sajik Station
Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
-
C.
Sasang Station
Sasang Station is a major railway and subway interchange in Busan, South Korea, serving as a key transit hub for both local and intercity travel.
-
D.
Dorasan Station
Dorasan Station is a symbolic railway station in South Korea near the Demilitarized Zone, built as a hopeful future gateway for rail travel and trade between South and North Korea.
-
E.
Nopo Station
Nopo Station is a major subway and bus terminal in Busan, South Korea, serving as a key transportation hub for the northeastern part of the city.
- F. None of above. chosen
Provenance (5 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_69ca83a4947c8190823a7495dc5d96ed |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd05da3688190b7a1ac8a58e5488f |
completed | April 2, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b76e0cc8190aa7303347e0183d4 |
completed | May 3, 2026, 12:48 a.m. |
| NEDg | Description generation | batch_69f69d48e6948190a13afe3b8943d877 |
completed | May 3, 2026, 12:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69dfa2b8481908827025a28bfb056 |
completed | May 3, 2026, 12:59 a.m. |
Created at: March 30, 2026, 9:01 p.m.