Triple

T20145522
Position Surface form Disambiguated ID Type / Status
Subject 元興寺 E491291 entity
Predicate 最寄駅 P44136 FINISHED
Object JR奈良駅
JR奈良駅は、奈良県奈良市に位置し、奈良公園や興福寺・東大寺などの古都奈良の主要観光地への玄関口となるJR西日本の駅です。
E1412632 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: JR奈良駅 | Statement: [元興寺, 最寄駅, JR奈良駅]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: JR奈良駅
Context triple: [元興寺, 最寄駅, JR奈良駅]
  • A. 柏原駅
    柏原駅は、大阪府柏原市に位置し、JR関西本線(大和路線)などが乗り入れる同市の主要な鉄道駅です。
  • B. JR Inari Station
    JR Inari Station is a railway station in Kyoto, Japan, serving visitors to the famous Fushimi Inari Taisha shrine and its surrounding area.
  • C. JR Nikko Station
    JR Nikko Station is a railway station in Nikkō, Tochigi Prefecture, Japan, serving as a primary gateway for visitors traveling by train to the city’s historic temples, shrines, and natural attractions.
  • D. Kintetsu Nara Station
    Kintetsu Nara Station is a major railway terminal in Nara, Japan, serving as a key gateway for visitors to the city’s historic temples and cultural sites.
  • E. Nankai Railway Namba Station
    Nankai Railway Namba Station is a major terminal railway station in Osaka’s Namba district, serving as a key gateway to southern Osaka and Kansai International Airport.
  • 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: JR奈良駅
Triple: [元興寺, 最寄駅, JR奈良駅]
Generated description
JR奈良駅は、奈良県奈良市に位置し、奈良公園や興福寺・東大寺などの古都奈良の主要観光地への玄関口となるJR西日本の駅です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: JR奈良駅
Target entity description: JR奈良駅は、奈良県奈良市に位置し、奈良公園や興福寺・東大寺などの古都奈良の主要観光地への玄関口となるJR西日本の駅です。
  • A. 柏原駅
    柏原駅は、大阪府柏原市に位置し、JR関西本線(大和路線)などが乗り入れる同市の主要な鉄道駅です。
  • B. JR Inari Station
    JR Inari Station is a railway station in Kyoto, Japan, serving visitors to the famous Fushimi Inari Taisha shrine and its surrounding area.
  • C. JR Nikko Station
    JR Nikko Station is a railway station in Nikkō, Tochigi Prefecture, Japan, serving as a primary gateway for visitors traveling by train to the city’s historic temples, shrines, and natural attractions.
  • D. Kintetsu Nara Station
    Kintetsu Nara Station is a major railway terminal in Nara, Japan, serving as a key gateway for visitors to the city’s historic temples and cultural sites.
  • E. Nankai Railway Namba Station
    Nankai Railway Namba Station is a major terminal railway station in Osaka’s Namba district, serving as a key gateway to southern Osaka and Kansai International Airport.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679e43a48190b3a5da5710b07ff7 completed April 20, 2026, 5:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082de8a0dc8190a4b7ecc580f720f0 completed May 16, 2026, 8:42 a.m.
NEDg Description generation batch_6a082ec3d1348190baa740b2c28af65c completed May 16, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_6a082f9cf5908190b9b766c70164ee75 completed May 16, 2026, 8:49 a.m.
Created at: April 11, 2026, 11:33 p.m.