Triple

T11309480
Position Surface form Disambiguated ID Type / Status
Subject Hirakata E267799 entity
Predicate railwayStation P918 FINISHED
Object Miyanosaka Station
Miyanosaka Station is a railway station serving the city of Hirakata in Osaka Prefecture, Japan.
E1349751 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: Miyanosaka Station | Statement: [Hirakata, railwayStation, Miyanosaka Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miyanosaka Station
Context triple: [Hirakata, railwayStation, Miyanosaka Station]
  • A. Miyanosawa Station
    Miyanosawa Station is a subway station in Sapporo, Japan, serving as the western terminus of the Tōzai Line.
  • B. Minowa Station
    Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
  • C. Kishinosato Station
    Kishinosato Station is a railway station in Osaka, Japan, served by the Osaka Metro Yotsubashi Line.
  • D. Mukogawa Station
    Mukogawa Station is a railway station in Amagasaki, Hyōgo Prefecture, Japan, serving passengers on the Hanshin Electric Railway network.
  • E. Kuzuha Station
    Kuzuha Station is a railway station in Hirakata, Osaka Prefecture, Japan, serving as a key stop on the Keihan Main 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: Miyanosaka Station
Triple: [Hirakata, railwayStation, Miyanosaka Station]
Generated description
Miyanosaka Station is a railway station serving the city of Hirakata in Osaka Prefecture, Japan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Miyanosaka Station
Target entity description: Miyanosaka Station is a railway station serving the city of Hirakata in Osaka Prefecture, Japan.
  • A. Miyanosawa Station
    Miyanosawa Station is a subway station in Sapporo, Japan, serving as the western terminus of the Tōzai Line.
  • B. Minowa Station
    Minowa Station is a subway station on the Tokyo Metro Hibiya Line serving the Taitō area of Tokyo, Japan.
  • C. Kishinosato Station
    Kishinosato Station is a railway station in Osaka, Japan, served by the Osaka Metro Yotsubashi Line.
  • D. Mukogawa Station
    Mukogawa Station is a railway station in Amagasaki, Hyōgo Prefecture, Japan, serving passengers on the Hanshin Electric Railway network.
  • E. Kuzuha Station
    Kuzuha Station is a railway station in Hirakata, Osaka Prefecture, Japan, serving as a key stop on the Keihan Main 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_6a0590f57a6c8190b11b43fc79c2956b completed May 14, 2026, 9:08 a.m.
NEDg Description generation batch_6a0594f351fc8190bbc88900cdafbdde completed May 14, 2026, 9:25 a.m.
NED2 Entity disambiguation (via description) batch_6a05962396e08190bcf4327b9c2b02ee completed May 14, 2026, 9:30 a.m.
Created at: April 8, 2026, 9:32 p.m.