Triple

T11309643
Position Surface form Disambiguated ID Type / Status
Subject 交野市 E267803 entity
Predicate 隣接自治体 P33892 FINISHED
Object 奈良県生駒市
奈良県生駒市は、大阪府との府県境に位置し、生駒山地や住宅地が広がる奈良県北西部の都市です。
E917314 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: 奈良県生駒市 | Statement: [交野市, 隣接自治体, 奈良県生駒市]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 奈良県生駒市
Context triple: [交野市, 隣接自治体, 奈良県生駒市]
  • A. Yamatotakada, Nara Prefecture
    Yamatotakada is a city in Nara Prefecture, Japan, known as a regional commercial center with historical temples and traditional residential districts.
  • B. Yoshino, Nara
    Yoshino, Nara is a mountainous town in Japan’s Nara Prefecture renowned for its thousands of cherry trees, historic temples, and status as part of a UNESCO World Heritage Site.
  • C. Yoshino area, Nara Prefecture
    Yoshino area in Nara Prefecture is a mountainous region of Japan famed for its cherry blossoms, sacred pilgrimage routes, and rich natural landscapes.
  • D. Sakurai, Nara
    Sakurai, Nara is a city in Nara Prefecture, Japan, known as part of the ancient Yamato heartland and for its rich concentration of early Japanese historical and archaeological sites.
  • E. Gojō, Nara Prefecture
    Gojō is a city in Nara Prefecture, Japan, known for its mountainous scenery, historic temples, and traditional townscapes along the Yoshino River.
  • 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: 奈良県生駒市
Triple: [交野市, 隣接自治体, 奈良県生駒市]
Generated description
奈良県生駒市は、大阪府との府県境に位置し、生駒山地や住宅地が広がる奈良県北西部の都市です。
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 奈良県生駒市
Target entity description: 奈良県生駒市は、大阪府との府県境に位置し、生駒山地や住宅地が広がる奈良県北西部の都市です。
  • A. Yamatotakada, Nara Prefecture
    Yamatotakada is a city in Nara Prefecture, Japan, known as a regional commercial center with historical temples and traditional residential districts.
  • B. Yoshino, Nara
    Yoshino, Nara is a mountainous town in Japan’s Nara Prefecture renowned for its thousands of cherry trees, historic temples, and status as part of a UNESCO World Heritage Site.
  • C. Yoshino area, Nara Prefecture
    Yoshino area in Nara Prefecture is a mountainous region of Japan famed for its cherry blossoms, sacred pilgrimage routes, and rich natural landscapes.
  • D. Sakurai, Nara
    Sakurai, Nara is a city in Nara Prefecture, Japan, known as part of the ancient Yamato heartland and for its rich concentration of early Japanese historical and archaeological sites.
  • E. Gojō, Nara Prefecture
    Gojō is a city in Nara Prefecture, Japan, known for its mountainous scenery, historic temples, and traditional townscapes along the Yoshino River.
  • 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_69e516bec3e481909cbd0d9c683d2191 completed April 19, 2026, 5:54 p.m.
Created at: April 8, 2026, 9:32 p.m.