Triple
T14014396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | kiri (paulownia) |
E337167
|
entity |
| Predicate | woodWorkability |
P1357
|
FINISHED |
| Object | easy to work |
—
|
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: easy to work | Statement: [kiri (paulownia), woodWorkability, easy to work]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: woodWorkability Context triple: [kiri (paulownia), woodWorkability, easy to work]
-
A.
woodProperty
chosen
Indicates that one entity specifies or characterizes a property or attribute of wood associated with another entity.
-
B.
workability
Indicates that something is capable of functioning effectively or being put into practical use as intended.
-
C.
topWood
Indicates that one entity is made of or features a particular type of wood used specifically for its top surface or top section.
-
D.
isWoodenStructure
Indicates that the subject is a structure primarily made of wood or constructed using wooden components.
-
E.
hasBodyWood
Indicates that an entity’s body is made of or primarily composed of wood.
- 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_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f37d11481909159bdb9e1e8d38e |
completed | April 14, 2026, 12:12 p.m. |
| PD | Predicate disambiguation | batch_69de05a802ac819090604025aae6a4d5 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:19 p.m.