Triple
T27835692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | なんば駅 |
E703219
|
entity |
| Predicate | 最寄娯楽施設 |
P163395
|
FINISHED |
| Object |
道頓堀商店街
道頓堀商店街は、大阪・ミナミを代表するネオン看板やグルメ、観光名所が集まるにぎやかな商店街エリアです。
|
E1791482
|
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: 道頓堀商店街 | Statement: [なんば駅, 最寄娯楽施設, 道頓堀商店街]
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: 道頓堀商店街 Triple: [なんば駅, 最寄娯楽施設, 道頓堀商店街]
Generated description
道頓堀商店街は、大阪・ミナミを代表するネオン看板やグルメ、観光名所が集まるにぎやかな商店街エリアです。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 最寄娯楽施設 Context triple: [なんば駅, 最寄娯楽施設, 道頓堀商店街]
-
A.
最寄娯楽施設
chosen
Indicates that one entity is the nearest entertainment facility (such as a theater, arcade, or amusement venue) relative to another entity or location.
-
B.
isMajorAttractionFor
Indicates that something serves as a primary or highly significant draw or point of interest for a particular audience, group, or location.
-
C.
isMajorAttractionIn
Indicates that something is a primary or highly significant attraction within a particular place or location.
-
D.
isMainBuildingOf
Indicates that a building serves as the primary or central facility associated with a particular organization, complex, or site.
-
E.
majorPark
Indicates that a park is classified as a major or primary park within a given area or system.
- 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_69ef840b94b08190950a4f77296938b2 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a12f730a0d88190a1347bfdd2837bcf |
completed | May 24, 2026, 1:03 p.m. |
| NEDg | Description generation | batch_6a12f7ec5a388190912cedf024233dee |
completed | May 24, 2026, 1:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12fbae881c8190a13234bf6ad26f8f |
completed | May 24, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 5:59 p.m.