Triple
T11098678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fano plane |
E262444
|
entity |
| Predicate | isSmallest |
P64837
|
FINISHED |
| Object | finite projective plane |
—
|
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: finite projective plane | Statement: [Fano plane, isSmallest, finite projective plane]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isSmallest Context triple: [Fano plane, isSmallest, finite projective plane]
-
A.
isSmallestOf
chosen
Indicates that an entity has the minimum size or value within a specified set or group of entities.
-
B.
isSmall
Indicates that one entity has a size that is relatively small, either in absolute terms or compared to a reference standard or another entity.
-
C.
isOneOfSmallestLetters
Indicates that the letter is among the smallest (e.g., lowest-ranked or minimal) letters within a specified set or ordering.
-
D.
isMinimumWhen
Indicates that a value or state is at its smallest or least level precisely under certain specified conditions or circumstances.
-
E.
isSmallestMeaningfulScaleIn
Indicates that something represents the lowest level of scale within a context at which distinctions or effects are still meaningful or significant.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a0c46308190889b94c23ebaca62 |
completed | April 9, 2026, 12:22 p.m. |
| PD | Predicate disambiguation | batch_69d7441aa3548190b92dbde57841c135 |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:27 p.m.