Triple

T37061724
Position Surface form Disambiguated ID Type / Status
Subject 枚方市立楠葉中学校 E917339 entity
Predicate 所在地地区 P145066 FINISHED
Object 楠葉地区
楠葉地区は、大阪府枚方市の南部に位置し、住宅地や商業施設が集まるベッドタウンとして発展している地域です。
 E2209939 NE FINISHED

How this triple was built (3 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: 楠葉地区 | Statement: [枚方市立楠葉中学校, 所在地地区, 楠葉地区]
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: 楠葉地区
Triple: [枚方市立楠葉中学校, 所在地地区, 楠葉地区]
Generated description
楠葉地区は、大阪府枚方市の南部に位置し、住宅地や商業施設が集まるベッドタウンとして発展している地域です。
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: 所在地地区
Context triple: [枚方市立楠葉中学校, 所在地地区, 楠葉地区]
  • A. 所在地エリア chosen
    Indicates the geographical area or region in which an entity is located or based.
  • B. 所在都市
    Indicates the city in which an entity is located or based.
  • C. 行政区
    Indicates a relationship where one entity is an administrative division or jurisdictional area associated with, governed by, or belonging to another entity.
  • D. 定位
    Indicates the act of determining or establishing the position, location, or placement of one entity relative to a reference point or context.
  • E. 所在地_市区町村
    Indicates the municipality (city, ward, town, or village) in which an entity is located.
  • F. None of above.

Provenance (6 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_69f76e95fa40819091e14681087ae5e4 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb34e5576881909394355c8ec6ddd2 completed May 6, 2026, 12:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3e8c5715e8819082c99d589abd3baa completed June 26, 2026, 2:27 p.m.
NEDg Description generation batch_6a3e95ede37c8190976559fecd7917b3 completed June 26, 2026, 3:08 p.m.
NED2 Entity disambiguation (via description) batch_6a3e9914a3e48190bf59606bacf80c87 completed June 26, 2026, 3:21 p.m.
PD Predicate disambiguation batch_69fb2f6171e88190bf1e0ee6a644b6a9 completed May 6, 2026, 12:09 p.m.
Created at: May 3, 2026, 4:14 p.m.