Triple
T548478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Section X |
E12783
|
entity |
| Predicate | hasStandardType |
P15581
|
FINISHED |
| Object | engineering standard |
—
|
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: engineering standard | Statement: [Section X, hasStandardType, engineering standard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStandardType Context triple: [Section X, hasStandardType, engineering standard]
-
A.
hasStandardVersion
Indicates that one entity serves as the official or canonical version of another entity.
-
B.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
-
C.
hasTypeName
Indicates that an entity is associated with a specific type name used to classify or identify its kind.
-
D.
hasKeyType
Indicates that an entity possesses or is associated with a specific category or type of key.
-
E.
usesStandard
Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49900895c819092a131c185a758bf |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494b957988190bc269e372df2f0b2 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49858abd48190bd4b002a93e4a908 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.