Triple
T6545754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aso |
E151002
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object |
Asō
Asō is a Japanese surname and place name most notably associated with former Prime Minister Tarō Asō and the volcanic Mount Aso in Kyushu, Japan.
|
E604417
|
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: Asō | Statement: [Aso, hasVariantSpelling, Asō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asō Context triple: [Aso, hasVariantSpelling, Asō]
-
A.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
-
B.
Asaka
Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
-
C.
Anogi
Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
-
D.
Enyō
Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
-
E.
Miyawaka
Miyawaka is a city in Japan known for its location in northern Kyushu and its blend of industrial facilities and residential communities.
- 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: Asō Triple: [Aso, hasVariantSpelling, Asō]
Generated description
Asō is a Japanese surname and place name most notably associated with former Prime Minister Tarō Asō and the volcanic Mount Aso in Kyushu, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Asō Target entity description: Asō is a Japanese surname and place name most notably associated with former Prime Minister Tarō Asō and the volcanic Mount Aso in Kyushu, Japan.
-
A.
Asago
Asago is a city in northern Hyōgo Prefecture, Japan, known for its mountainous scenery, historic castle ruins, and hot spring resorts.
-
B.
Asaka
Asaka is a Japanese noble family name historically associated with a collateral branch of the Imperial Family, including Prince Asaka Yasuhiko.
-
C.
Anogi
Anogi is a small traditional mountain village on the Greek island of Ithaca, known for its historic church, stone houses, and panoramic views.
-
D.
Enyō
Enyō is a minor Greek goddess associated with war, destruction, and the bloody chaos of battle, often depicted as a companion of Ares.
-
E.
Miyawaka
Miyawaka is a city in Japan known for its location in northern Kyushu and its blend of industrial facilities and residential communities.
- 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_69c687f3fd60819083bfa583e5bcfa71 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6adee47cc8190830dbc1228b788ee |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d54814848190bc397d9b81abc042 |
completed | March 27, 2026, 7:06 p.m. |
| NEDg | Description generation | batch_69c6d67574cc8190acf20c1a598c32ee |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d83b53e48190881a3e1e8fa8b168 |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:50 p.m.