Triple
T8681378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cirebon railway stations |
E206045
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Prujakan Station
Prujakan Station is a railway station in Cirebon, Indonesia, serving as one of the city’s key stops for regional and intercity train services.
|
E768883
|
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: Prujakan Station | Statement: [Cirebon railway stations, hasStation, Prujakan Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prujakan Station Context triple: [Cirebon railway stations, hasStation, Prujakan Station]
-
A.
Anonas station
Anonas station is an elevated rapid transit stop on Manila’s Light Rail Transit Line 2 serving the Quezon City area.
-
B.
Kitasando Station
Kitasando Station is an underground subway station in Shibuya, Tokyo, serving the Tokyo Metro network near the Meiji Shrine and Harajuku area.
-
C.
Agrícola Oriental station
Agrícola Oriental station is a Mexico City Metro station serving the Agrícola Oriental neighborhood in the eastern part of the city.
-
D.
Ryen station
Ryen station is a metro station in Oslo, Norway, serving the Østensjø area on the city's rapid transit network.
-
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: Prujakan Station Triple: [Cirebon railway stations, hasStation, Prujakan Station]
Generated description
Prujakan Station is a railway station in Cirebon, Indonesia, serving as one of the city’s key stops for regional and intercity train services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prujakan Station Target entity description: Prujakan Station is a railway station in Cirebon, Indonesia, serving as one of the city’s key stops for regional and intercity train services.
-
A.
Anonas station
Anonas station is an elevated rapid transit stop on Manila’s Light Rail Transit Line 2 serving the Quezon City area.
-
B.
Kitasando Station
Kitasando Station is an underground subway station in Shibuya, Tokyo, serving the Tokyo Metro network near the Meiji Shrine and Harajuku area.
-
C.
Agrícola Oriental station
Agrícola Oriental station is a Mexico City Metro station serving the Agrícola Oriental neighborhood in the eastern part of the city.
-
D.
Ryen station
Ryen station is a metro station in Oslo, Norway, serving the Østensjø area on the city's rapid transit network.
-
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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae6d19c8190be003f7901c0468d |
completed | March 31, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc91d31d48190bfd8a8254f6f518e |
completed | April 3, 2026, 2:05 p.m. |
| NEDg | Description generation | batch_69cfca00ffa08190ad66fb99572a6275 |
completed | April 3, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfca84937881909707497d733218e5 |
completed | April 3, 2026, 2:11 p.m. |
Created at: March 30, 2026, 6:32 p.m.