Triple
T18162146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Zao |
E434791
|
entity |
| Predicate | hasPeak |
P8205
|
FINISHED |
| Object |
Katta-dake
Katta-dake is a prominent volcanic peak within Japan’s Mount Zao range, known for its scenic crater landscapes and popular hiking routes.
|
E1310329
|
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: Katta-dake | Statement: [Mount Zao, hasPeak, Katta-dake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katta-dake Context triple: [Mount Zao, hasPeak, Katta-dake]
-
A.
Katunayake
Katunayake is a town in Sri Lanka’s Western Province known primarily as the country’s main international air gateway and an important industrial and transport hub.
-
B.
Taketa
Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
-
C.
Hacha-Kekan
Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
-
D.
Takabisha
Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
-
E.
Maehotaka-dake
Maehotaka-dake is a prominent sub-peak of Japan’s Mount Hotaka in the Northern Alps, known for its rugged terrain and alpine hiking routes.
- 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: Katta-dake Triple: [Mount Zao, hasPeak, Katta-dake]
Generated description
Katta-dake is a prominent volcanic peak within Japan’s Mount Zao range, known for its scenic crater landscapes and popular hiking routes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Katta-dake Target entity description: Katta-dake is a prominent volcanic peak within Japan’s Mount Zao range, known for its scenic crater landscapes and popular hiking routes.
-
A.
Katunayake
Katunayake is a town in Sri Lanka’s Western Province known primarily as the country’s main international air gateway and an important industrial and transport hub.
-
B.
Taketa
Taketa is a small historic city in Japan known for its scenic rural landscapes, hot springs, and castle ruins.
-
C.
Hacha-Kekan
Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
-
D.
Takabisha
Takabisha is a record-breaking steel roller coaster in Japan renowned for its extremely steep drop and intense thrill elements.
-
E.
Maehotaka-dake
Maehotaka-dake is a prominent sub-peak of Japan’s Mount Hotaka in the Northern Alps, known for its rugged terrain and alpine hiking routes.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec32530819099d906640a07e92c |
completed | April 19, 2026, 1:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038fc09ae881908ff6e7e8226a19bc |
completed | May 12, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_6a03916ab19081909ad8a52c27b4e65e |
completed | May 12, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0392118b84819081252eb438ed5654 |
completed | May 12, 2026, 8:48 p.m. |
Created at: April 10, 2026, 10:30 a.m.