Triple
T1795392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diamond |
E39591
|
entity |
| Predicate | cleavage |
P20906
|
FINISHED |
| Object | perfect in four directions |
—
|
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: perfect in four directions | Statement: [Diamond, cleavage, perfect in four directions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cleavage Context triple: [Diamond, cleavage, perfect in four directions]
-
A.
cleavagePattern
chosen
Indicates the characteristic way in which something splits, divides, or separates into parts under specific conditions.
-
B.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
C.
traction
Indicates the degree to which one entity’s movement or influence effectively grips, pulls, or gains momentum relative to another entity or medium.
-
D.
tractionType
Indicates the type or method of traction applied or used in relation to an entity or system.
-
E.
crest
Indicates reaching the highest point or peak of something, such as a wave, hill, or trend, before it begins to decline.
- 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_69a88631854081909723959921e45c2b |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab61b6ea188190aab9fb839bf1e367 |
completed | March 6, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69aa61d2f7a8819090301f92d3e358c7 |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:32 p.m.