Triple
T332503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1932 Summer Olympics |
E6654
|
entity |
| Predicate | torchRelay |
P11559
|
FINISHED |
| Object | no formal torch relay held |
—
|
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: no formal torch relay held | Statement: [1932 Summer Olympics, torchRelay, no formal torch relay held]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: torchRelay Context triple: [1932 Summer Olympics, torchRelay, no formal torch relay held]
-
A.
executionModel
Indicates how a process, task, or operation is carried out or implemented, specifying the underlying method, strategy, or mechanism of its execution.
-
B.
machineLearningLibrary
Indicates that one entity is a software library or framework specifically designed to support machine learning tasks for another entity.
-
C.
compilationType
Indicates the specific method or mode by which something is compiled or assembled into a final form.
-
D.
executionEngine
Indicates the mechanism or component responsible for carrying out, managing, or running a defined process, task, or set of operations.
-
E.
compiler
Indicates that one entity serves as a compiler of another, typically transforming source material (such as code or documents) into a compiled or aggregated form.
- 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_69a2e79434908190a9d5afe415153ad9 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eab1a7048190ac690ddc2e294914 |
completed | Feb. 28, 2026, 1:16 p.m. |
| PD | Predicate disambiguation | batch_69a2e94c6d8881908239d3788c018adf |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ea09a5e881908b313cb37409a4f9 |
completed | Feb. 28, 2026, 1:13 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.