Triple
T28611962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BMP |
E724185
|
entity |
| Predicate | disadvantages |
P7340
|
FINISHED |
| Object | large file size |
—
|
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: large file size | Statement: [BMP, disadvantages, large file size]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disadvantages Context triple: [BMP, disadvantages, large file size]
-
A.
disadvantage
chosen
Indicates that one entity is in a less favorable, weaker, or hindered position relative to another in a given context.
-
B.
shortcomings
Indicates that an entity has flaws, deficiencies, or limitations in its qualities, performance, or behavior.
-
C.
dislikes
Indicates that one entity has a negative feeling or aversion toward another entity.
-
D.
disfavoured
Indicates that one entity holds a negative, unfavorable, or less preferred attitude or treatment toward another entity compared to alternatives.
-
E.
discourages
Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f652a492108190b885b955ce147d3c |
completed | May 2, 2026, 7:38 p.m. |
| PD | Predicate disambiguation | batch_69f651aad92c8190b874b3b5f9f64434 |
completed | May 2, 2026, 7:34 p.m. |
Created at: April 28, 2026, 4:30 a.m.