Triple
T1655524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geumjeong District |
E35789
|
entity |
| Predicate | hasTransportation |
P105
|
FINISHED |
| Object |
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.
|
E516906
|
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: Nopo Station | Statement: [Geumjeong District, hasTransportation, Nopo Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nopo Station Context triple: [Geumjeong District, hasTransportation, Nopo Station]
-
A.
Naha Station
Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
-
B.
Kecun Station
Kecun Station is a major interchange stop on the Guangzhou Metro system in Guangzhou, China.
-
C.
Kita-Yono Station
Kita-Yono Station is a railway station in Saitama, Japan, operated by JR East on the Saikyo Line and serving commuters in the surrounding urban area.
-
D.
Yono Station
Yono Station is a railway station in Saitama, Japan, operated by JR East on the Saikyō Line and serving as a commuter hub for the surrounding urban area.
-
E.
Sanda Station
Sanda Station is a railway station in Sanda, Hyōgo Prefecture, Japan, serving as a local transit hub on the JR West network.
- 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: Nopo Station Triple: [Geumjeong District, hasTransportation, Nopo Station]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nopo Station Target entity description: 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.
-
A.
Naha Station
Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
-
B.
Kecun Station
Kecun Station is a major interchange stop on the Guangzhou Metro system in Guangzhou, China.
-
C.
Kita-Yono Station
Kita-Yono Station is a railway station in Saitama, Japan, operated by JR East on the Saikyo Line and serving commuters in the surrounding urban area.
-
D.
Yono Station
Yono Station is a railway station in Saitama, Japan, operated by JR East on the Saikyō Line and serving as a commuter hub for the surrounding urban area.
-
E.
Sanda Station
Sanda Station is a railway station in Sanda, Hyōgo Prefecture, Japan, serving as a local transit hub on the JR West network.
- 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_69a8860568888190a32cd9f70acbba42 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abb4535180819088e3bdaa591dcdbd |
completed | March 7, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf32e44ed88190a7a6d9ea9097d8e6 |
completed | March 22, 2026, 12:08 a.m. |
| NEDg | Description generation | batch_69bf3485cfac81909c4868842fc0949f |
completed | March 22, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf34e3161881908dbf77118fda3824 |
completed | March 22, 2026, 12:16 a.m. |
Created at: March 4, 2026, 7:29 p.m.