Triple
T31024121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betti numbers |
E790522
|
entity |
| Predicate | b2Meaning |
P170922
|
FINISHED |
| Object | number of independent 2-dimensional voids |
—
|
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: number of independent 2-dimensional voids | Statement: [Betti numbers, b2Meaning, number of independent 2-dimensional voids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: b2Meaning Context triple: [Betti numbers, b2Meaning, number of independent 2-dimensional voids]
-
A.
basicMeaning
Indicates that one entity expresses or conveys the fundamental or core meaning of another entity.
-
B.
S2Meaning
Indicates a semantic relationship where one entity conveys, expresses, or represents the meaning or sense of another entity.
-
C.
textMeaning
Indicates that one text expresses, conveys, or corresponds to a particular meaning or semantic content.
-
D.
stringMeaning
Indicates that one entity represents the semantic content or interpretation of a given string associated with another entity.
-
E.
ermenMeaning
Indicates that one entity represents or conveys the meaning or semantic interpretation of another entity.
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:58 p.m.