Triple
T12516643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | cmp |
E299205
|
entity |
| Predicate | outputDetail |
P105407
|
FINISHED |
| Object | byte offset of first difference |
—
|
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: byte offset of first difference | Statement: [cmp, outputDetail, byte offset of first difference]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outputDetail Context triple: [cmp, outputDetail, byte offset of first difference]
-
A.
outputDescription
Indicates that an entity produces or generates a particular description as its output.
-
B.
outputOf
Indicates that one entity is the result or product generated by the processing, operation, or behavior of another entity.
-
C.
testDetail
Indicates that there is specific, often granular information or attributes associated with a particular test or testing instance.
-
D.
outputConfiguration
Indicates how the results or data produced by a process, system, or component are structured, formatted, or directed to their destination.
-
E.
layoutDetail
Indicates the specific arrangement or configuration details of how elements are laid out in relation to each other.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.