Triple
T17963634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heavenly Mountain |
E449146
|
entity |
| Predicate | hasJapaneseName |
P9882
|
FINISHED |
| Object |
Tenzan
Tenzan is a Japanese term meaning "Heavenly Mountain," commonly used as a name for mountains, locations, and cultural references in Japan.
|
E1303898
|
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: Tenzan | Statement: [Heavenly Mountain, hasJapaneseName, Tenzan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tenzan Context triple: [Heavenly Mountain, hasJapaneseName, Tenzan]
-
A.
Hyakutake
Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
-
B.
Gokenzan
Gokenzan is the mountain in Kagawa Prefecture on which Temple 84, Yashimaji, of the Shikoku Pilgrimage is located.
-
C.
Ōyama
Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
-
D.
Daisen
Daisen is a city in Japan known for its location in Akita Prefecture and its rich agricultural and cultural traditions.
-
E.
Kobuchizawa
Kobuchizawa is a town in Yamanashi Prefecture, Japan, known as a gateway to the Yatsugatake Mountains and surrounding highland resort areas.
- 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: Tenzan Triple: [Heavenly Mountain, hasJapaneseName, Tenzan]
Generated description
Tenzan is a Japanese term meaning "Heavenly Mountain," commonly used as a name for mountains, locations, and cultural references in Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tenzan Target entity description: Tenzan is a Japanese term meaning "Heavenly Mountain," commonly used as a name for mountains, locations, and cultural references in Japan.
-
A.
Hyakutake
Hyakutake is a Japanese surname borne by several notable individuals, including military figures and other public personalities.
-
B.
Gokenzan
Gokenzan is the mountain in Kagawa Prefecture on which Temple 84, Yashimaji, of the Shikoku Pilgrimage is located.
-
C.
Ōyama
Ōyama is a Japanese surname borne by various notable figures in Japan’s military, political, and cultural history.
-
D.
Daisen
Daisen is a city in Japan known for its location in Akita Prefecture and its rich agricultural and cultural traditions.
-
E.
Kobuchizawa
Kobuchizawa is a town in Yamanashi Prefecture, Japan, known as a gateway to the Yatsugatake Mountains and surrounding highland resort areas.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b135cd2c8190a6190cf6611dbe08 |
completed | April 19, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035657374081908bc447b4cad5e5d4 |
completed | May 12, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_6a035806fdb8819093caf816dce9834b |
completed | May 12, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03586945708190ba31099fd01de79b |
completed | May 12, 2026, 4:42 p.m. |
Created at: April 10, 2026, 10:22 a.m.