Triple
T26551418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 福岡県太宰府市 |
E671686
|
entity |
| Predicate | 有名な博物館 |
P37091
|
FINISHED |
| Object |
九州国立博物館
九州国立博物館は、日本の歴史と文化交流をテーマにした常設展示や多彩な特別展を行う、日本で4番目の国立博物館です。
|
E1733284
|
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: 九州国立博物館 | Statement: [福岡県太宰府市, 有名な博物館, 九州国立博物館]
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: 九州国立博物館 Triple: [福岡県太宰府市, 有名な博物館, 九州国立博物館]
Generated description
九州国立博物館は、日本の歴史と文化交流をテーマにした常設展示や多彩な特別展を行う、日本で4番目の国立博物館です。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 有名な博物館 Context triple: [福岡県太宰府市, 有名な博物館, 九州国立博物館]
-
A.
majorMuseum
Indicates that a museum holds significant importance or prominence, typically due to its size, collections, reputation, or cultural impact.
-
B.
hasMuseumName
Indicates that an entity (typically a museum) is associated with a specific name or title.
-
C.
hasMuseumAt
chosen
Indicates that a museum is located at or exists in a specified place or location.
-
D.
museumOrSite
Indicates that one entity is a museum or cultural/historical site associated with or relevant to another entity.
-
E.
isLargestMultipurposeMuseumIn
Indicates that a museum is the largest multipurpose museum within a specified geographic area or location.
- 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f614624c80819084f6febf57f86828 |
completed | May 2, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11c81e26288190b027a84873d72943 |
completed | May 23, 2026, 3:30 p.m. |
| NEDg | Description generation | batch_6a11e5247fe88190bcd9a7afe016f3a2 |
completed | May 23, 2026, 5:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11e5f0744c8190904d781ba9d7e28c |
completed | May 23, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69f602d7b1b0819095ddd3b5169f8ce2 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 1:47 a.m.