Triple

T21748701
Position Surface form Disambiguated ID Type / Status
Subject 灘区 E536853 entity
Predicate hasRailwayStation P918 FINISHED
Object 大石駅
大石駅は、兵庫県神戸市灘区に位置し、阪神本線が乗り入れる都市近郊の鉄道駅である。
 E1582963 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: 大石駅 | Statement: [灘区, hasRailwayStation, 大石駅]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 大石駅
Context triple: [灘区, hasRailwayStation, 大石駅]
  • A. Mukogawa Station
    Mukogawa Station is a railway station in Amagasaki, Hyōgo Prefecture, Japan, serving passengers on the Hanshin Electric Railway network.
  • B. Sakuragawa Station
    Sakuragawa Station is a railway station in Osaka, Japan, serving as a stop on multiple urban transit lines including the Osaka Metro network.
  • C. Otsu Station
    Otsu Station is a key railway station in Ōtsu, Shiga Prefecture, Japan, serving as an important hub on JR West’s network near Lake Biwa.
  • D. Takashimadaira Station
    Takashimadaira Station is a railway station in Tokyo, Japan, serving the Takashimadaira area on the Toei Mita Line.
  • E. Tadaoka Station
    Tadaoka Station is a railway station in Tadaoka, Osaka Prefecture, Japan, serving local commuter traffic on the Nankai 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: 大石駅
Triple: [灘区, hasRailwayStation, 大石駅]
Generated description
大石駅は、兵庫県神戸市灘区に位置し、阪神本線が乗り入れる都市近郊の鉄道駅である。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 大石駅
Target entity description: 大石駅は、兵庫県神戸市灘区に位置し、阪神本線が乗り入れる都市近郊の鉄道駅である。
  • A. Mukogawa Station
    Mukogawa Station is a railway station in Amagasaki, Hyōgo Prefecture, Japan, serving passengers on the Hanshin Electric Railway network.
  • B. Sakuragawa Station
    Sakuragawa Station is a railway station in Osaka, Japan, serving as a stop on multiple urban transit lines including the Osaka Metro network.
  • C. Otsu Station
    Otsu Station is a key railway station in Ōtsu, Shiga Prefecture, Japan, serving as an important hub on JR West’s network near Lake Biwa.
  • D. Takashimadaira Station
    Takashimadaira Station is a railway station in Tokyo, Japan, serving the Takashimadaira area on the Toei Mita Line.
  • E. Tadaoka Station
    Tadaoka Station is a railway station in Tadaoka, Osaka Prefecture, Japan, serving local commuter traffic on the Nankai 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01a77e19c81909bf26f96aa41a7ce completed April 28, 2026, 2:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c5da47b648190a4ba7792f2b36999 completed May 19, 2026, 12:55 p.m.
NEDg Description generation batch_6a0c60283668819096076b1bf406eaa0 completed May 19, 2026, 1:05 p.m.
NED2 Entity disambiguation (via description) batch_6a0c60b52fe88190854803902df750c5 completed May 19, 2026, 1:08 p.m.
Created at: April 16, 2026, 6:50 p.m.