Triple
T25307786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daily 4 |
E634527
|
entity |
| Predicate | minimumDigit |
P26954
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Daily 4, minimumDigit, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minimumDigit Context triple: [Daily 4, minimumDigit, 0]
-
A.
minimumNumber
chosen
Indicates that the associated value is the smallest or least quantity allowed, required, or observed within a given set or context.
-
B.
minimumDenomination
Indicates that one entity specifies the smallest allowable unit or value (minimum denomination) in which another entity can be expressed, transacted, or divided.
-
C.
minimumDegree
Indicates that the relationship specifies the smallest number of connections or edges incident to any entity within a given structure or set.
-
D.
minimumRange
Indicates the smallest allowable or observed value within a specified range for a given relationship or measurement.
-
E.
minimumDepth
Indicates the smallest or shallowest depth value associated with an entity or between entities in a given context.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f4939c49a48190b9fdc2555273915e |
completed | May 1, 2026, 11:50 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 1:25 p.m.