Triple
T23737507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catalan numbers |
E586576
|
entity |
| Predicate | valueAtTwo |
P43786
|
FINISHED |
| Object | C_2 = 2 |
—
|
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: C_2 = 2 | Statement: [Catalan numbers, valueAtTwo, C_2 = 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valueAtTwo Context triple: [Catalan numbers, valueAtTwo, C_2 = 2]
-
A.
valueAt
chosen
Indicates that one entity specifies the value or content associated with another entity at a particular point, position, or context.
-
B.
valuesAtEvenIntegers
Indicates that the relationship or function is evaluated specifically at even integer input values.
-
C.
secondSymbolValue
Indicates that the value or quantity associated with the second symbol in a pair or sequence is being specified or referenced.
-
D.
value
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
-
E.
dotValue
Indicates that one entity has a specific scalar value obtained from the dot product (inner product) operation with another entity.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad356c88190ae29ce403145ee73 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:11 p.m.