Triple
T17399317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokachi Koori Matsuri |
E423043
|
entity |
| Predicate | hasMainFeatures |
P126650
|
FINISHED |
| Object | large ice sculptures |
—
|
LITERAL FINISHED |
How this triple was built (2 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: large ice sculptures | Statement: [Tokachi Koori Matsuri, hasMainFeatures, large ice sculptures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainFeatures Context triple: [Tokachi Koori Matsuri, hasMainFeatures, large ice sculptures]
-
A.
hasPrimaryFeature
Indicates that an entity possesses a main or most characteristic feature that defines or distinguishes it.
-
B.
hasMainArch
Indicates that an entity possesses or features a primary or central arch structure.
-
C.
hasMainElements
chosen
Indicates that something possesses or is composed of its primary or most important constituent parts.
-
D.
hasHomeFeature
Indicates that a home possesses or includes a particular feature or amenity.
-
E.
hasFrontFeature
Indicates that an entity possesses a specific characteristic, component, or attribute located on its front side.
- F. None of above.
Provenance (3 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_69d889d710288190bf0f4762801fefae |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43abf7ea08190a9d9f9358e3bb684 |
completed | April 19, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69e3b02e6cc88190986e85e64ce9383e |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.