Triple
T25307787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daily 4 |
E634527
|
entity |
| Predicate | maximumDigit |
P160856
|
FINISHED |
| Object | 9 |
—
|
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: 9 | Statement: [Daily 4, maximumDigit, 9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumDigit Context triple: [Daily 4, maximumDigit, 9]
-
A.
maximumNumber
Indicates that one entity specifies the highest allowable or observed quantity, value, or count associated with another entity.
-
B.
maximumFrequency
Indicates the highest number of times a particular event, value, or occurrence appears within a given set or context.
-
C.
maximumMagnitude
Indicates the greatest absolute value or intensity that a quantity, measurement, or effect can reach within a given context.
-
D.
mostSignificantBit
Indicates that one value represents the most significant (highest-order) bit in the binary representation of another value.
-
E.
identifiesMaximumWith
Indicates that one entity designates or associates another entity as having the greatest value, degree, or extent within a specified set or context.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f60ac643108190ae81561267155791 |
completed | May 2, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f606c15af88190958856a9e467b826 |
completed | May 2, 2026, 2:14 p.m. |
Created at: April 21, 2026, 1:25 p.m.