Triple

T11134265
Position Surface form Disambiguated ID Type / Status
Subject Sapporo Municipal Subway E263370 entity
Predicate hasStation P35 FINISHED
Object Makomanai Station
Makomanai Station is a subway station in Sapporo, Japan, serving as the southern terminus of the Namboku Line of the Sapporo Municipal Subway.
E1272743 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: Makomanai Station | Statement: [Sapporo Municipal Subway, hasStation, Makomanai Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Makomanai Station
Context triple: [Sapporo Municipal Subway, hasStation, Makomanai Station]
  • A. Makishi Station
    Makishi Station is a monorail station on the Okinawa Urban Monorail (Yui Rail) in Naha, Japan, serving the busy Kokusai-dori shopping and entertainment district.
  • B. Makiochi Station
    Makiochi Station is a railway station serving the city of Minoh in Osaka Prefecture, Japan.
  • C. 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.
  • D. Uguisudani Station
    Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
  • 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: Makomanai Station
Triple: [Sapporo Municipal Subway, hasStation, Makomanai Station]
Generated description
Makomanai Station is a subway station in Sapporo, Japan, serving as the southern terminus of the Namboku Line of the Sapporo Municipal Subway.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Makomanai Station
Target entity description: Makomanai Station is a subway station in Sapporo, Japan, serving as the southern terminus of the Namboku Line of the Sapporo Municipal Subway.
  • A. Makishi Station
    Makishi Station is a monorail station on the Okinawa Urban Monorail (Yui Rail) in Naha, Japan, serving the busy Kokusai-dori shopping and entertainment district.
  • B. Makiochi Station
    Makiochi Station is a railway station serving the city of Minoh in Osaka Prefecture, Japan.
  • C. 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.
  • D. Uguisudani Station
    Uguisudani Station is a railway station in Tokyo, Japan, known for serving the Yamanote and Keihin-Tōhoku Lines near the Ueno area.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8347a248190837e8c26f25f553a completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01c1e360048190a94b9ce8724cb4b7 completed May 11, 2026, 11:47 a.m.
NEDg Description generation batch_6a01c60989d08190839909d7018f48f4 completed May 11, 2026, 12:05 p.m.
NED2 Entity disambiguation (via description) batch_6a01c701504c8190ad1979b65cb73336 completed May 11, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:28 p.m.