Triple
T24573076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | big bluestem |
E608012
|
entity |
| Predicate | palatability |
P156393
|
FINISHED |
| Object | palatable to cattle |
—
|
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: palatable to cattle | Statement: [big bluestem, palatability, palatable to cattle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: palatability Context triple: [big bluestem, palatability, palatable to cattle]
-
A.
mouthfeel
Indicates the sensory qualities and physical sensations a substance produces in the mouth when consumed.
-
B.
likesFood
Indicates that an entity has a positive preference for or enjoyment of a particular food.
-
C.
hasTasteIntensity
Indicates the degree or strength of taste associated with something.
-
D.
tasteInfluence
Indicates how one entity’s characteristics, actions, or presence affect or shape another entity’s preferences, likes, or aesthetic tastes.
-
E.
crunchiness
Indicates the degree to which something produces a firm, crisp sound and texture when bitten or broken.
- 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_69e2c4cdab6c8190aae6e5d3de55c95e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a9269360819090c44f4483c3533c |
completed | April 30, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2a846c5bc81909ba50cee483bea91 |
completed | April 30, 2026, 12:54 a.m. |
Created at: April 18, 2026, 2:28 a.m.