Triple

T4825240
Position Surface form Disambiguated ID Type / Status
Subject Sakae E107807 entity
Predicate transportServedBy P1298 FINISHED
Object Hisaya-odori Station
Hisaya-odori Station is an underground metro station in central Nagoya, Japan, serving as a key access point to the Sakae district.
E927152 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: Hisaya-odori Station | Statement: [Sakae, transportServedBy, Hisaya-odori Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hisaya-odori Station
Context triple: [Sakae, transportServedBy, Hisaya-odori Station]
  • A. Makiochi Station
    Makiochi Station is a railway station serving the city of Minoh in Osaka Prefecture, Japan.
  • B. Homachi Station
    Homachi Station is a major underground railway station in central Osaka, Japan, serving as an important interchange hub on the Osaka Metro network.
  • C. Rokkomichi Station
    Rokkomichi Station is a railway station in Kobe, Japan, serving as a key access point for visitors traveling to the Mount Rokko area.
  • D. Ishibashi Station
    Ishibashi Station is a railway station in Japan that serves as a stop on JR West’s network, connecting local passengers along the Takarazuka corridor.
  • E. Motoyama Station
    Motoyama Station is a railway station in Nagoya, Japan, serving as a key stop on the city’s subway 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: Hisaya-odori Station
Triple: [Sakae, transportServedBy, Hisaya-odori Station]
Generated description
Hisaya-odori Station is an underground metro station in central Nagoya, Japan, serving as a key access point to the Sakae district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hisaya-odori Station
Target entity description: Hisaya-odori Station is an underground metro station in central Nagoya, Japan, serving as a key access point to the Sakae district.
  • A. Makiochi Station
    Makiochi Station is a railway station serving the city of Minoh in Osaka Prefecture, Japan.
  • B. Homachi Station
    Homachi Station is a major underground railway station in central Osaka, Japan, serving as an important interchange hub on the Osaka Metro network.
  • C. Rokkomichi Station
    Rokkomichi Station is a railway station in Kobe, Japan, serving as a key access point for visitors traveling to the Mount Rokko area.
  • D. Ishibashi Station
    Ishibashi Station is a railway station in Japan that serves as a stop on JR West’s network, connecting local passengers along the Takarazuka corridor.
  • E. Motoyama Station
    Motoyama Station is a railway station in Nagoya, Japan, serving as a key stop on the city’s subway 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_69bd43fac8188190803f0327190621e4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6cadb2bc81909455149e46eb593a completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e877c6188190817fb30f2c9a07bf completed April 20, 2026, 8:48 a.m.
NEDg Description generation batch_69e5f1557e9c8190b53ce391793b2c7f completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f863bf7c81908969ed0a5b99f032 completed April 20, 2026, 9:56 a.m.
Created at: March 20, 2026, 1:24 p.m.