Triple
T28049976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 日本取引所グループ |
E708793
|
entity |
| Predicate | 本社ビル名称 |
P3876
|
FINISHED |
| Object |
東京証券取引所ビル
東京証券取引所ビルは、東京都中央区日本橋兜町に位置し、日本の代表的な証券取引市場である東京証券取引所を中核施設として擁するオフィスビルである。
|
E1798937
|
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: 東京証券取引所ビル | Statement: [日本取引所グループ, 本社ビル名称, 東京証券取引所ビル]
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: 東京証券取引所ビル Triple: [日本取引所グループ, 本社ビル名称, 東京証券取引所ビル]
Generated description
東京証券取引所ビルは、東京都中央区日本橋兜町に位置し、日本の代表的な証券取引市場である東京証券取引所を中核施設として擁するオフィスビルである。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 本社ビル名称 Context triple: [日本取引所グループ, 本社ビル名称, 東京証券取引所ビル]
-
A.
mainBuildingName
chosen
Indicates the name that is designated as the primary or main building associated with an entity.
-
B.
isMainBuildingOf
Indicates that a building serves as the primary or central facility associated with a particular organization, complex, or site.
-
C.
headquartersOfBusiness
Indicates that a location serves as the main administrative center or principal office for a business.
-
D.
originalBuildingName
Indicates that a building’s referenced name is its original or historically first assigned name, as opposed to any later or alternate names.
-
E.
officeName
Indicates the official name assigned to an office or workplace.
- 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_69ef9b6df9f48190bbb971d02cbe1b65 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f63fd88d408190af30ebec8469b050 |
completed | May 2, 2026, 6:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a15b8c0c8c481908384c239c2127092 |
completed | May 26, 2026, 3:14 p.m. |
| NEDg | Description generation | batch_6a15b95e42e88190aabddfef491b8bca |
completed | May 26, 2026, 3:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a15bb27200c8190bf9e7a14821f054a |
completed | May 26, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 8:32 p.m.