Triple
T4384078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loss-of-Fluid Test Facility |
E99197
|
entity |
| Predicate | typeOfTests |
P5435
|
FINISHED |
| Object | integral system tests |
—
|
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: integral system tests | Statement: [Loss-of-Fluid Test Facility, typeOfTests, integral system tests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTests Context triple: [Loss-of-Fluid Test Facility, typeOfTests, integral system tests]
-
A.
testType
chosen
Indicates the specific category or kind of test associated with an entity or event.
-
B.
numberOfTests
Indicates the quantity of tests associated with or performed in a given context or entity.
-
C.
testsIn
Indicates that one entity conducts or performs tests within, on, or using another entity.
-
D.
tests
Indicates that one entity examines, evaluates, or checks another entity or condition to determine its properties, performance, or correctness.
-
E.
testedFor
Indicates that an entity has been examined or analyzed to determine the presence, absence, or level of another specified entity or condition.
- F. None of above.
Provenance (3 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_69b3454f739481909ff6c28331f0c0b9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35263970c8190904ee20d81715833 |
completed | March 12, 2026, 11:55 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.