Triple
T15885324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawayu Onsen |
E385176
|
entity |
| Predicate | onsenCategory |
P120925
|
FINISHED |
| Object | sulfur spring |
—
|
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: sulfur spring | Statement: [Kawayu Onsen, onsenCategory, sulfur spring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onsenCategory Context triple: [Kawayu Onsen, onsenCategory, sulfur spring]
-
A.
onsenArea
Indicates that a location or region is designated as an onsen (hot spring) area.
-
B.
inductionCategory
Indicates a relationship where an entity is classified or grouped under a specific category based on an induction process or inductive reasoning.
-
C.
designCategory
Indicates that one entity is classified under a particular design-related category or type.
-
D.
coreCategory
Indicates that one entity is the primary or fundamental category to which another entity belongs or is classified under.
-
E.
componentCategory
Indicates that one entity is classified as belonging to a particular component category of another entity.
- F. None of above. chosen
Provenance (4 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e174da2c2c819099ec46616798245a |
completed | April 16, 2026, 11:46 p.m. |
Created at: April 10, 2026, 4:51 a.m.