Triple
T5553168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ikebukuro Station |
E145574
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
JS21
JS21 is the station code assigned to Ikebukuro Station on Japan’s JR rail network.
|
E536020
|
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: JS21 | Statement: [Ikebukuro Station, hasStationCode, JS21]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JS21 Context triple: [Ikebukuro Station, hasStationCode, JS21]
-
A.
JS17
JS17 is the station code assigned to Osaki Station on Japan's railway network.
-
B.
JES2
JES2 (Job Entry Subsystem 2) is an IBM mainframe component that manages the input, scheduling, and output of batch jobs and print workloads in the z/OS operating system.
-
C.
JS Kaga
JS Kaga is a Japanese Maritime Self-Defense Force warship, the second vessel of the Izumo-class designed primarily for anti-submarine warfare and helicopter operations.
-
D.
JST
JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
-
E.
JST
JST is the ICAO airline designator used to identify Jetstar Airways in international aviation operations.
- 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: JS21 Triple: [Ikebukuro Station, hasStationCode, JS21]
Generated description
JS21 is the station code assigned to Ikebukuro Station on Japan’s JR rail network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JS21 Target entity description: JS21 is the station code assigned to Ikebukuro Station on Japan’s JR rail network.
-
A.
JS17
JS17 is the station code assigned to Osaki Station on Japan's railway network.
-
B.
JES2
JES2 (Job Entry Subsystem 2) is an IBM mainframe component that manages the input, scheduling, and output of batch jobs and print workloads in the z/OS operating system.
-
C.
JS Kaga
JS Kaga is a Japanese Maritime Self-Defense Force warship, the second vessel of the Izumo-class designed primarily for anti-submarine warfare and helicopter operations.
-
D.
JST
JST is the ICAO airline designator used to identify Jetstar Airways in international aviation operations.
-
E.
JST
JST is the time zone used throughout Japan, nine hours ahead of Coordinated Universal Time (UTC+9).
- 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_69c008fb879c81909f5bfa56fadc1d46 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01ff9c9c48190b5e587d58c6515d8 |
completed | March 22, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04cfc6f808190a39c607f61dcfa32 |
completed | March 22, 2026, 8:11 p.m. |
| NEDg | Description generation | batch_69c04e8422dc8190879ee52bd6850565 |
completed | March 22, 2026, 8:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c04f3963888190b1c85b3bb9ff5d44 |
completed | March 22, 2026, 8:21 p.m. |
Created at: March 22, 2026, 3:35 p.m.