Triple

T1152037
Position Surface form Disambiguated ID Type / Status
Subject JR Saikyo Line E23696 entity
Predicate servesStation P839 FINISHED
Object Toda-Koen Station
Toda-Koen Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East.
 E311562 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: Toda-Koen Station | Statement: [JR Saikyo Line, servesStation, Toda-Koen Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toda-Koen Station
Context triple: [JR Saikyo Line, servesStation, Toda-Koen Station]
  • A. Kencho-mae Station
    Kencho-mae Station is a monorail station on the Okinawa Urban Monorail (Yui Rail) in central Naha, Japan, serving as a key access point to the Okinawa Prefectural Government Office area.
  • B. 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.
  • C. Naha Station
    Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
  • D. Senkawa Station
    Senkawa Station is a subway station in Tokyo, Japan, serving passengers on the Tokyo Metro network.
  • E. Ebisu Station
    Ebisu Station is a major railway hub in Tokyo’s Shibuya ward, known for its convenient connections and proximity to the popular Ebisu commercial and entertainment district.
  • 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: Toda-Koen Station
Triple: [JR Saikyo Line, servesStation, Toda-Koen Station]
Generated description
Toda-Koen Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toda-Koen Station
Target entity description: Toda-Koen Station is a railway station in Toda, Saitama Prefecture, Japan, operated by JR East.
  • A. Kencho-mae Station
    Kencho-mae Station is a monorail station on the Okinawa Urban Monorail (Yui Rail) in central Naha, Japan, serving as a key access point to the Okinawa Prefectural Government Office area.
  • B. Toda Station chosen
    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.
  • C. Naha Station
    Naha Station is a major railway terminal in Naha, Okinawa, serving as a key transportation hub for the city and surrounding region.
  • D. Senkawa Station
    Senkawa Station is a subway station in Tokyo, Japan, serving passengers on the Tokyo Metro network.
  • E. Ebisu Station
    Ebisu Station is a major railway hub in Tokyo’s Shibuya ward, known for its convenient connections and proximity to the popular Ebisu commercial and entertainment district.
  • F. None of above.

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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc8d2dd8819081c779d408c2651d completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc0a32ec819089d3e4f7d7b86c89 completed March 11, 2026, 5:22 a.m.
NEDg Description generation batch_69b0fcf23bbc819080d211844fb4f80f completed March 11, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_69b100ecbee081908832ddec0efdc751 completed March 11, 2026, 5:43 a.m.
Created at: March 1, 2026, 7:44 p.m.