Triple
T34712427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASTM C451 |
E1000681
|
entity |
| Predicate | hasTestType |
P5435
|
FINISHED |
| Object | laboratory test method |
—
|
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: laboratory test method | Statement: [ASTM C451, hasTestType, laboratory test method]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTestType Context triple: [ASTM C451, hasTestType, laboratory test method]
-
A.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
B.
supportsTestType
Indicates that one entity is capable of handling, executing, or being compatible with a specified type of test.
-
C.
testType
chosen
Indicates the specific category or kind of test associated with an entity or event.
-
D.
hasGoodType
Indicates that an entity possesses a type or classification considered appropriate, valid, or of high quality according to some defined criteria.
-
E.
hasTestCapability
Indicates that an entity possesses the ability or functionality to perform a specified test or set of tests.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
Created at: May 3, 2026, 3:59 p.m.