Triple
T28610445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TCG |
E724155
|
entity |
| Predicate | translationUnit |
P191571
|
FINISHED |
| Object | basic blocks |
—
|
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: basic blocks | Statement: [TCG, translationUnit, basic blocks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: translationUnit Context triple: [TCG, translationUnit, basic blocks]
-
A.
codingUnit
Indicates a relationship where an entity functions as or is associated with a specific unit of code or coding structure.
-
B.
unit
Indicates that two quantities are measured using the same standard unit of measurement.
-
C.
definesUnit
Indicates that one entity specifies the measurement unit or standard by which the value or quantity of another entity is expressed.
-
D.
registrationUnit
Indicates that one entity serves as the official unit or body responsible for registering, recording, or enrolling another entity.
-
E.
unitOfAnalysis
Indicates the primary entity, level, or component that is being examined or measured in a given analysis or study.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce28a74508190aab36551094e8226 |
completed | May 7, 2026, 7:05 p.m. |
Created at: April 28, 2026, 4:29 a.m.