Triple
T17009803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jiyugaoka Station |
E412667
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
TY07
TY07 is the station code assigned to Jiyugaoka Station on Tokyo’s Tokyu railway network.
|
E1244620
|
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: TY07 | Statement: [Jiyugaoka Station, hasStationCode, TY07]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TY07 Context triple: [Jiyugaoka Station, hasStationCode, TY07]
-
A.
TYO:7012
TYO:7012 is the Tokyo Stock Exchange ticker symbol for Kawasaki Heavy Industries, a major Japanese manufacturer of transportation equipment, industrial machinery, and aerospace products.
-
B.
TX-07
TX-07 is a United States congressional district located in the Houston area of Texas, represented in the U.S. House of Representatives.
-
C.
TYO:6752
TYO:6752 is the Tokyo Stock Exchange ticker symbol for Panasonic Corporation, a major Japanese multinational electronics and home appliances manufacturer.
-
D.
PH-07
PH-07 is the ISO 3166-2 code assigned to the Central Visayas administrative region of the Philippines.
-
E.
J70
The J70 is a long-running generation of the Toyota Land Cruiser renowned for its rugged body-on-frame construction, off-road durability, and continued use in demanding commercial and remote-area applications worldwide.
- 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: TY07 Triple: [Jiyugaoka Station, hasStationCode, TY07]
Generated description
TY07 is the station code assigned to Jiyugaoka Station on Tokyo’s Tokyu railway network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TY07 Target entity description: TY07 is the station code assigned to Jiyugaoka Station on Tokyo’s Tokyu railway network.
-
A.
TYO:7012
TYO:7012 is the Tokyo Stock Exchange ticker symbol for Kawasaki Heavy Industries, a major Japanese manufacturer of transportation equipment, industrial machinery, and aerospace products.
-
B.
TX-07
TX-07 is a United States congressional district located in the Houston area of Texas, represented in the U.S. House of Representatives.
-
C.
TYO:6752
TYO:6752 is the Tokyo Stock Exchange ticker symbol for Panasonic Corporation, a major Japanese multinational electronics and home appliances manufacturer.
-
D.
PH-07
PH-07 is the ISO 3166-2 code assigned to the Central Visayas administrative region of the Philippines.
-
E.
J70
The J70 is a long-running generation of the Toyota Land Cruiser renowned for its rugged body-on-frame construction, off-road durability, and continued use in demanding commercial and remote-area applications worldwide.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47a8444819081f1262eb7dbda40 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc241ec88190a3e868ab88b26f09 |
completed | May 10, 2026, 7:27 p.m. |
| NEDg | Description generation | batch_6a0114d7d03c8190943777f4eac956fd |
completed | May 10, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01159a08b081908fc82adc7cca532a |
completed | May 10, 2026, 11:32 p.m. |
Created at: April 10, 2026, 5:33 a.m.