Triple
T11309482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirakata |
E267799
|
entity |
| Predicate | railwayStation |
P918
|
FINISHED |
| Object |
Murano Station
Murano Station is a passenger railway station serving the city of Hirakata in Osaka Prefecture, Japan.
|
E1152627
|
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: Murano Station | Statement: [Hirakata, railwayStation, Murano Station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murano Station Context triple: [Hirakata, railwayStation, Murano Station]
-
A.
Toda Station
Toda Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East and located on a major commuter route into central Tokyo.
-
B.
Muroran Station
Muroran Station is a railway station in Muroran, Hokkaido, Japan, serving as a local transit hub on the Muroran Main Line.
-
C.
Bataizi Station
Bataizi Station is a metro station on Beijing's Batong Line serving passengers in the eastern suburbs of the city.
-
D.
Gotanda Station
Gotanda Station is a major railway and metro hub in Tokyo’s Shinagawa ward, serving multiple JR and private lines and surrounded by busy commercial and office districts.
-
E.
Kitashinchi Station
Kitashinchi Station is an underground railway station in Osaka, Japan, located in the central business and entertainment district and served by the JR Tōzai Line.
- 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: Murano Station Triple: [Hirakata, railwayStation, Murano Station]
Generated description
Murano Station is a passenger railway station serving the city of Hirakata in Osaka Prefecture, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Murano Station Target entity description: Murano Station is a passenger railway station serving the city of Hirakata in Osaka Prefecture, Japan.
-
A.
Toda Station
Toda Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East and located on a major commuter route into central Tokyo.
-
B.
Muroran Station
Muroran Station is a railway station in Muroran, Hokkaido, Japan, serving as a local transit hub on the Muroran Main Line.
-
C.
Bataizi Station
Bataizi Station is a metro station on Beijing's Batong Line serving passengers in the eastern suburbs of the city.
-
D.
Gotanda Station
Gotanda Station is a major railway and metro hub in Tokyo’s Shinagawa ward, serving multiple JR and private lines and surrounded by busy commercial and office districts.
-
E.
Kitashinchi Station
Kitashinchi Station is an underground railway station in Osaka, Japan, located in the central business and entertainment district and served by the JR Tōzai Line.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b2e59e88190b58fdf9d9643aef9 |
completed | May 9, 2026, 10:23 a.m. |
| NEDg | Description generation | batch_69ff0bb903f881909619cece7def68e4 |
completed | May 9, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0c81636c81909536e69b48c5c400 |
completed | May 9, 2026, 10:29 a.m. |
Created at: April 8, 2026, 9:32 p.m.