Triple
T16611433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shyriiwook |
E403577
|
entity |
| Predicate | difficultyForHumans |
P2406
|
FINISHED |
| Object | very difficult to pronounce accurately |
—
|
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: very difficult to pronounce accurately | Statement: [Shyriiwook, difficultyForHumans, very difficult to pronounce accurately]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: difficultyForHumans Context triple: [Shyriiwook, difficultyForHumans, very difficult to pronounce accurately]
-
A.
difficulty
chosen
Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
-
B.
difficultyRelativeTo
Indicates that one entity’s level of difficulty is being compared to and expressed in relation to another entity’s level of difficulty.
-
C.
humanReadable
Indicates that something is expressed in a form that is easily understandable or interpretable by humans.
-
D.
difficultyClassRange
Indicates the range of difficulty classes within which an action, task, or challenge is considered to fall.
-
E.
differenceFromHumans
Indicates that something differs from humans in one or more characteristics, behaviors, or properties.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e36096356c819092815d64db041793 |
completed | April 18, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e296aabc508190b3836a91b49113ad |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:17 a.m.