Triple
T12722765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ASTM C94 |
E304025
|
entity |
| Predicate | hasUnitSystem |
P29841
|
FINISHED |
| Object | SI units |
—
|
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: SI units | Statement: [ASTM C94, hasUnitSystem, SI units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnitSystem Context triple: [ASTM C94, hasUnitSystem, SI units]
-
A.
unitSystem
chosen
Indicates the system of measurement units (such as metric or imperial) that is used to quantify associated values or attributes.
-
B.
hasInternationalSystem
Indicates that an entity is associated with, governed by, or operates under an internationally recognized system, framework, or standard.
-
C.
isOfficialSystemOfUnitsFor
Indicates that one system of units is formally recognized or designated as the standard measurement system for a particular domain, region, or context.
-
D.
hasUnitOf
Indicates that a quantity, measurement, or value is expressed in terms of a specific unit.
-
E.
usesMeasurementSystem
Indicates that one entity adopts or applies a particular system of measurement defined by another entity.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:24 p.m.