Triple
T13600748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bucky Done Gun |
E324933
|
entity |
| Predicate | samplingSource |
P110259
|
FINISHED |
| Object | Injeção |
—
|
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: Injeção | Statement: [Bucky Done Gun, samplingSource, Injeção]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: samplingSource Context triple: [Bucky Done Gun, samplingSource, Injeção]
-
A.
noiseSource
Indicates that one entity is the origin or producer of a particular noise affecting another entity or the environment.
-
B.
source
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
C.
samplingCycle
Indicates the recurring interval or sequence in which sampling or measurement actions are performed.
-
D.
pointSource
Indicates that an entity acts as a localized origin or emitter of some quantity (such as light, sound, or radiation) concentrated at a single point in space.
-
E.
sampleType
Indicates the classification or category of a sample in relation to a broader set of samples or experimental conditions.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb07ad3f48190a2173e42c5cfedb1 |
completed | April 12, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaf9f3bdc8190838539aaef1f422b |
completed | April 12, 2026, 2:43 p.m. |
Created at: April 9, 2026, 9:49 p.m.