Triple
T17558101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AMQP |
E427634
|
entity |
| Predicate | earlierVersionFamily |
P60231
|
FINISHED |
| Object | 0-9-1 |
—
|
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: 0-9-1 | Statement: [AMQP, earlierVersionFamily, 0-9-1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlierVersionFamily Context triple: [AMQP, earlierVersionFamily, 0-9-1]
-
A.
hasEarlierVersion
chosen
Indicates that one entity is an earlier or prior version of another entity in a version sequence.
-
B.
earlierVersionsCapability
Indicates that an entity has the ability to access, handle, or interact with earlier versions of another entity or resource.
-
C.
previousVersionUsedFrom
Indicates that one entity was used as the immediately preceding version from which another entity was derived or updated.
-
D.
previousVersionInUseUntil
Indicates that an earlier version of something continued to be actively used up to a specified point in time.
-
E.
previousVersionAdopted
Indicates that one entity has been adopted or implemented as a successor to an earlier version represented by the other 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4562413d08190acaa5272046d3626 |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.