Triple
T4733098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR Namba Station |
E105057
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
JR-Q17
JR-Q17 is the station code assigned to JR Namba Station on the West Japan Railway (JR West) network in Osaka, Japan.
|
E465370
|
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: JR-Q17 | Statement: [JR Namba Station, hasStationCode, JR-Q17]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JR-Q17 Context triple: [JR Namba Station, hasStationCode, JR-Q17]
-
A.
JR-O11
JR-O11 is the station code assigned to Osaka Station on the JR West railway network in Japan.
-
B.
JR-O08
JR-O08 is the station code assigned to Kyobashi Station on the JR West Osaka Loop Line in Osaka, Japan.
-
C.
JR-O06
JR-O06 is the station code assigned to Osakajokoen Station on the JR West railway network in Osaka, Japan.
-
D.
JR-H41
JR-H41 is the JR West station code assigned to Kyobashi Station on the Osaka Loop Line in Osaka, Japan.
-
E.
J7
J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road 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: JR-Q17 Triple: [JR Namba Station, hasStationCode, JR-Q17]
Generated description
JR-Q17 is the station code assigned to JR Namba Station on the West Japan Railway (JR West) network in Osaka, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JR-Q17 Target entity description: JR-Q17 is the station code assigned to JR Namba Station on the West Japan Railway (JR West) network in Osaka, Japan.
-
A.
JR-O11
JR-O11 is the station code assigned to Osaka Station on the JR West railway network in Japan.
-
B.
JR-O08
JR-O08 is the station code assigned to Kyobashi Station on the JR West Osaka Loop Line in Osaka, Japan.
-
C.
JR-O06
JR-O06 is the station code assigned to Osakajokoen Station on the JR West railway network in Osaka, Japan.
-
D.
JR-H41
JR-H41 is the JR West station code assigned to Kyobashi Station on the Osaka Loop Line in Osaka, Japan.
-
E.
J7
J7 is a numbered junction on the M60 motorway in Greater Manchester, England, serving as an access point between the motorway and the surrounding local road 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6466354481908595f5bb56025cdb |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10acf7488190946b31f95114d459 |
completed | March 21, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69be1502bbb4819094c27231dc6a9762 |
completed | March 21, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be15ba6dac8190b37130ba0a9209c3 |
completed | March 21, 2026, 3:51 a.m. |
Created at: March 20, 2026, 1:19 p.m.