Triple
T5570656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermat number |
E146191
|
entity |
| Predicate | secondTerm |
P62306
|
FINISHED |
| Object | F_1 = 5 |
—
|
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: F_1 = 5 | Statement: [Fermat number, secondTerm, F_1 = 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondTerm Context triple: [Fermat number, secondTerm, F_1 = 5]
-
A.
secondTermEnd
Indicates that the referenced time or event marks the conclusion of the second term in a sequence of terms.
-
B.
secondElement
chosen
Indicates that one entity is the second element in an ordered pair, sequence, or collection relative to another entity.
-
C.
secondWord
Indicates that one entity is the second word in sequence immediately following the first entity in a text or utterance.
-
D.
secondTermStartYear
Indicates the calendar year in which an entity’s second term in a role, office, or position begins.
-
E.
secondTier
Indicates that something occupies a secondary or subordinate level of importance, quality, or rank relative to a primary or top tier.
- 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_69c008ffed108190a084602227af6157 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020502a288190af37f9ebb88fccae |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b12826c8190969a584d0f53aa44 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.