Triple
T23734867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zao Mountains |
E586512
|
entity |
| Predicate | rimeTreesAlsoKnownAs |
P86770
|
FINISHED |
| Object |
Juhyo
Juhyo are spectacular natural formations of ice- and snow-covered trees, often called "snow monsters," that create a surreal winter landscape in Japan’s mountainous regions.
|
E1618205
|
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: Juhyo | Statement: [Zao Mountains, rimeTreesAlsoKnownAs, Juhyo]
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: Juhyo Triple: [Zao Mountains, rimeTreesAlsoKnownAs, Juhyo]
Generated description
Juhyo are spectacular natural formations of ice- and snow-covered trees, often called "snow monsters," that create a surreal winter landscape in Japan’s mountainous regions.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rimeTreesAlsoKnownAs Context triple: [Zao Mountains, rimeTreesAlsoKnownAs, Juhyo]
-
A.
knownAsBy
chosen
Indicates that one entity is referred to or recognized by another entity using a particular name or designation.
-
B.
hasRhymingName
Indicates that one entity has a name that rhymes with the name of another entity.
-
C.
knowsAs
Indicates that one entity recognizes or refers to another entity by a particular name, alias, or identifier.
-
D.
namedForPortmanteauOf
Indicates that something is named using a portmanteau formed by blending parts of two or more other names or words.
-
E.
romanizationVariantOf
Indicates that one written form is a different romanized representation of the same underlying word or expression as another.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bacfb3d0819085a11140ac7aeb12 |
completed | April 29, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0f9629225c819089497a469370fa85 |
completed | May 21, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_6a0f971a0f108190ba6d5b57da2acbdf |
completed | May 21, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0f981441b08190a0076042748d92ea |
completed | May 21, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:10 p.m.