Triple
T3503564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester encoding |
E74022
|
entity |
| Predicate | errorDetectionProperty |
P43799
|
FINISHED |
| Object | missing transition indicates potential error |
—
|
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: missing transition indicates potential error | Statement: [Manchester encoding, errorDetectionProperty, missing transition indicates potential error]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: errorDetectionProperty Context triple: [Manchester encoding, errorDetectionProperty, missing transition indicates potential error]
-
A.
requiresDetectionOf
Indicates that one entity can only occur, be valid, or proceed if another entity has first been detected or identified.
-
B.
errorType
chosen
Indicates the specific category or kind of error associated with an event, action, or entity.
-
C.
errorPropagation
Indicates how an error in one component, process, or variable is transmitted to and affects other components, processes, or variables in a system.
-
D.
trackingErrorCharacteristic
Indicates the specific type or nature of the discrepancy between a tracked value and its reference or target over time.
-
E.
detectorType
Indicates the specific kind or category of detector associated with an entity or measurement.
- 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbf0c2b48190b49923137bb9e45d |
completed | March 8, 2026, 6:12 p.m. |
| PD | Predicate disambiguation | batch_69adae0cd8b0819099da300af09880da |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.