Triple
T2201998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Test Able |
E50509
|
entity |
| Predicate | testSeriesPurpose |
P36935
|
FINISHED |
| Object | evaluation of ship survivability to nuclear explosions |
—
|
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: evaluation of ship survivability to nuclear explosions | Statement: [Test Able, testSeriesPurpose, evaluation of ship survivability to nuclear explosions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: testSeriesPurpose Context triple: [Test Able, testSeriesPurpose, evaluation of ship survivability to nuclear explosions]
-
A.
isSeriesOf
Indicates that one entity is a sequence or set of related items that collectively form a series associated with another entity.
-
B.
seriesType
Indicates the classification or category of a series that an entity belongs to or is associated with.
-
C.
numberOfSeries
Indicates the total count of distinct series associated with or contained within a given entity.
-
D.
givesSeriesFor
Indicates that one entity provides or assigns a series (such as a sequence, set, or collection) to another entity.
-
E.
tests
Indicates that one entity examines, evaluates, or checks another entity or condition to determine its properties, performance, or correctness.
- 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.