Triple
T38601960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackburn Roc |
E934238
|
entity |
| Predicate | roleAssessment |
P191645
|
FINISHED |
| Object | considered underpowered and ineffective as a fighter |
—
|
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: considered underpowered and ineffective as a fighter | Statement: [Blackburn Roc, roleAssessment, considered underpowered and ineffective as a fighter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAssessment Context triple: [Blackburn Roc, roleAssessment, considered underpowered and ineffective as a fighter]
-
A.
skillAssessed
Indicates that an entity’s skill or competency has been evaluated or measured, typically by another agent or process.
-
B.
qualificationFramework
Indicates a relationship where a qualification is classified or organized according to a specific qualification framework or system.
-
C.
qualificationLeadsTo
Indicates that obtaining a particular qualification results in or enables a subsequent outcome, status, or opportunity.
-
D.
assessmentName
Indicates the specific title or label assigned to an assessment within a system or context.
-
E.
qualificationFrameworkAlignment
Indicates how one qualification or credential is mapped or aligned to a specific level or standard within a qualification framework.
- 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_69f76ecc17688190b389b693a5927501 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce545fec881909247a3af821d21ae |
completed | May 7, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69fce12eaeec81908cf81346b2cef6e0 |
completed | May 7, 2026, 6:59 p.m. |
| PDg | Predicate description generation | batch_69fce54532948190a5cfacfe18e09322 |
completed | May 7, 2026, 7:17 p.m. |
Created at: May 3, 2026, 4:32 p.m.