Triple
T28593097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hebrew Wikibooks |
E723706
|
entity |
| Predicate | contentUpdateFrequency |
P56156
|
FINISHED |
| Object | continuous |
—
|
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: continuous | Statement: [Hebrew Wikibooks, contentUpdateFrequency, continuous]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: contentUpdateFrequency Context triple: [Hebrew Wikibooks, contentUpdateFrequency, continuous]
-
A.
rankingUpdateFrequency
Indicates how often the ranking or ordered list associated with an entity is recalculated or refreshed.
-
B.
contentUpdateType
Indicates the specific kind of modification or change that has been applied to a piece of content (e.g., creation, edit, or deletion).
-
C.
updatedEvery
Indicates that something is refreshed or brought up to date at a regular, specified interval.
-
D.
typicalUpdateFrequency
chosen
Indicates how often an entity is usually updated or refreshed over time.
-
E.
criticUpdateFrequency
Indicates how often a critic revises, refreshes, or publishes updated evaluations or reviews.
- 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_69f01d7f92e481909847f5f3f3174a89 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 28, 2026, 4:21 a.m.