Triple
T9933371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RIPE Atlas |
E192697
|
entity |
| Predicate | supportsBuiltInMeasurements |
P91229
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [RIPE Atlas, supportsBuiltInMeasurements, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsBuiltInMeasurements Context triple: [RIPE Atlas, supportsBuiltInMeasurements, true]
-
A.
hasMeasurement
Indicates that an entity is associated with a specific measured value, often including a unit or measurement context.
-
B.
containsMeasure
Indicates that one entity includes or encompasses a specific measure or quantitative component as part of its content or structure.
-
C.
includesMeasure
Indicates that one entity contains, incorporates, or makes use of a particular measurement or quantitative value as part of its definition or specification.
-
D.
usesMeasurementSystem
Indicates that one entity adopts or applies a particular system of measurement defined by another entity.
-
E.
requiresMeasures
Indicates that one entity necessitates the implementation or presence of specific measures, actions, or safeguards in relation to another entity or situation.
- 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_69ca82dd978c8190947124ab0d3315ac |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb5b89c808190a2e766025dd53bd5 |
completed | April 2, 2026, 12:18 a.m. |
| PD | Predicate disambiguation | batch_69cd1d9428cc81909b4b4938566d78a7 |
completed | April 1, 2026, 1:28 p.m. |
| PDg | Predicate description generation | batch_69cd358386f48190833c862b5b8c04b2 |
completed | April 1, 2026, 3:10 p.m. |
Created at: March 30, 2026, 8:44 p.m.