Triple
T17483304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NRZ-L |
E425716
|
entity |
| Predicate | errorDetectionCapability |
P127628
|
FINISHED |
| Object | none inherent |
—
|
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: none inherent | Statement: [NRZ-L, errorDetectionCapability, none inherent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorDetectionCapability Context triple: [NRZ-L, errorDetectionCapability, none inherent]
-
A.
errorDetectionMethod
Indicates the method or technique used to detect errors in a process, system, or data.
-
B.
requiresDetectionOf
Indicates that one entity can only occur, be valid, or proceed if another entity has first been detected or identified.
-
C.
detected
Indicates that an entity has observed, identified, or discovered the presence or occurrence of another entity or event.
-
D.
checksHardware
Indicates that one entity inspects or verifies the condition, presence, or correctness of another entity’s hardware components.
-
E.
detectorConcept
Indicates that one entity functions as a detector whose conceptual design, type, or detection principle is characterized or specified by the other entity.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d06c2881909632845dd7a6b1e3 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f341c88190adabe526d8903b05 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:48 a.m.