Triple
T22041114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Error |
E544638
|
entity |
| Predicate | defaultPropertyValue |
P128025
|
FINISHED |
| Object | name: "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: name: "Error" | Statement: [Error, defaultPropertyValue, name: "Error"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defaultPropertyValue Context triple: [Error, defaultPropertyValue, name: "Error"]
-
A.
defaultValue
chosen
Indicates that one entity serves as the pre-assigned or fallback value automatically used for another entity when no explicit value is provided.
-
B.
defaultNameValue
Indicates that an entity is assigned a standard or fallback name value used when no specific name has been provided.
-
C.
defaultQValue
Indicates the standard or initial Q-value assigned to a state-action pair before any learning or updates occur in a reinforcement learning process.
-
D.
typicalValueFor
Indicates that one entity represents a standard, representative, or commonly occurring value associated with another entity.
-
E.
defaultPosition
Indicates the standard or initial spatial arrangement or pose that an entity assumes in the absence of other specified positions.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12828fc788190a22c0e9c2372656b |
completed | April 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:25 p.m.