Triple
T14377788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Falu red |
E356518
|
entity |
| Predicate | dryingProperty |
P113803
|
FINISHED |
| Object | absorbed into wood surface |
—
|
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: absorbed into wood surface | Statement: [Falu red, dryingProperty, absorbed into wood surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dryingProperty Context triple: [Falu red, dryingProperty, absorbed into wood surface]
-
A.
dryingMethod
Indicates the method or process used to dry an object or material.
-
B.
canDryOut
Indicates that one entity has the ability or tendency to cause another entity to lose moisture and become dry.
-
C.
dryMass
Indicates the mass of an object excluding any contained fluids, propellants, or other consumable materials.
-
D.
dustResistanceRating
Indicates the level or degree to which something is protected against or unaffected by dust.
-
E.
isDriedLegume
Indicates that an entity is a legume that has been harvested and dried, typically for storage or later consumption.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900a67e08190ab1dcf36e6bb3405 |
completed | April 14, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
| PDg | Predicate description generation | batch_69de2e07d1f88190bdcd20967e484718 |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 10, 2026, 1:16 a.m.