Triple
T2202042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Test Baker |
E50510
|
entity |
| Predicate | testSeriesRole |
P36940
|
FINISHED |
| Object | first underwater nuclear explosion against a fleet of ships |
—
|
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: first underwater nuclear explosion against a fleet of ships | Statement: [Test Baker, testSeriesRole, first underwater nuclear explosion against a fleet of ships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testSeriesRole Context triple: [Test Baker, testSeriesRole, first underwater nuclear explosion against a fleet of ships]
-
A.
testRole
Indicates that an entity is assigned or associated with a specific role used for testing or validation purposes.
-
B.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
-
C.
servesRole
Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
-
D.
designationSeries
Indicates that one designation belongs to or is part of a broader series of related designations.
-
E.
reporterSeries
Indicates that a reporter is associated with, contributes to, or is part of a particular series of reports or stories.
- 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_69a88b044ab48190add007487680f009 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfa1b41c8190b0f7467d0dcdfbcd |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda706f4819094de73e1d1d1f539 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf35c994819088a093c412931de4 |
completed | March 7, 2026, 6:01 a.m. |
Created at: March 4, 2026, 7:46 p.m.