Triple
T7033289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Develop module |
E163318
|
entity |
| Predicate | doesNotModify |
P10655
|
FINISHED |
| Object | original image pixels |
—
|
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: original image pixels | Statement: [Develop module, doesNotModify, original image pixels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotModify Context triple: [Develop module, doesNotModify, original image pixels]
-
A.
doesNotChange
chosen
Indicates that one entity remains unaffected or unaltered by another entity or action.
-
B.
doesNotReplace
Indicates that one entity does not take over, substitute for, or serve as a replacement for another entity in a given context.
-
C.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
D.
doesNotUse
Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
-
E.
doesNotDetermine
Indicates that one entity or factor does not uniquely fix, decide, or specify the state, value, or outcome of another.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e458ad9c81908c3f492b317ce291 |
completed | March 27, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69c6e1b9a2488190aea351d96afa5a12 |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:36 p.m.