Triple

T11309693
Position Surface form Disambiguated ID Type / Status
Subject 高槻市 E267804 entity
Predicate borderWith P224 FINISHED
Object 京都府大山崎町
京都府大山崎町は、京都府南西部に位置し、天王山や淀川の景観、歴史的な合戦地や寺社、サントリー山崎蒸溜所などで知られる小規模な町です。
 E917325 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: 京都府大山崎町 | Statement: [高槻市, borderWith, 京都府大山崎町]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 京都府大山崎町
Context triple: [高槻市, borderWith, 京都府大山崎町]
  • A. 福岡県太宰府市
    福岡県太宰府市は、古代に九州の政治・文化・軍事の拠点として栄え、現在も太宰府天満宮を中心に学問の神を祀る聖地として知られる歴史都市である。
  • B. 丹波市
    丹波市 is a rural city in central Hyōgo Prefecture, Japan, known for its historic castle town atmosphere, agricultural products, and scenic natural landscapes.
  • C. 福知山市
    福知山市 is a city in northern Kyoto Prefecture, Japan, known as a regional commercial and transportation hub with a mix of historical sites and rural landscapes.
  • D. Higashiosaka, Osaka Prefecture, Japan
    Higashiosaka is a major industrial and educational city in Osaka Prefecture, Japan, known for its manufacturing base and as the home of several universities and research institutions.
  • E. Kōka, Shiga Prefecture
    Kōka, Shiga Prefecture is a rural city in Japan’s Kansai region known for its historic ninja heritage and scenic mountain landscapes.
  • 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: 京都府大山崎町
Triple: [高槻市, borderWith, 京都府大山崎町]
Generated description
京都府大山崎町は、京都府南西部に位置し、天王山や淀川の景観、歴史的な合戦地や寺社、サントリー山崎蒸溜所などで知られる小規模な町です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 京都府大山崎町
Target entity description: 京都府大山崎町は、京都府南西部に位置し、天王山や淀川の景観、歴史的な合戦地や寺社、サントリー山崎蒸溜所などで知られる小規模な町です。
  • A. 福岡県太宰府市
    福岡県太宰府市は、古代に九州の政治・文化・軍事の拠点として栄え、現在も太宰府天満宮を中心に学問の神を祀る聖地として知られる歴史都市である。
  • B. 丹波市
    丹波市 is a rural city in central Hyōgo Prefecture, Japan, known for its historic castle town atmosphere, agricultural products, and scenic natural landscapes.
  • C. 福知山市
    福知山市 is a city in northern Kyoto Prefecture, Japan, known as a regional commercial and transportation hub with a mix of historical sites and rural landscapes.
  • D. Higashiosaka, Osaka Prefecture, Japan
    Higashiosaka is a major industrial and educational city in Osaka Prefecture, Japan, known for its manufacturing base and as the home of several universities and research institutions.
  • E. Kōka, Shiga Prefecture
    Kōka, Shiga Prefecture is a rural city in Japan’s Kansai region known for its historic ninja heritage and scenic mountain landscapes.
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9c0b3b88190ac0e3d6a5ad3b9bc completed April 9, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a70022081908bc74185003a3503 completed April 19, 2026, 5:01 p.m.
NEDg Description generation batch_69e510fb1e288190a7a38fe896d7b91d completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516d0910481908fee176db0d9229b completed April 19, 2026, 5:54 p.m.
Created at: April 8, 2026, 9:32 p.m.