Triple
T31024119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betti numbers |
E790522
|
entity |
| Predicate | b0Meaning |
P170920
|
FINISHED |
| Object | number of path-connected components |
—
|
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 path-connected components | Statement: [Betti numbers, b0Meaning, number of path-connected components]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: b0Meaning Context triple: [Betti numbers, b0Meaning, number of path-connected components]
-
A.
S0Meaning
Indicates that something conveys, expresses, or represents a particular meaning or sense.
-
B.
basicMeaning
Indicates that one entity expresses or conveys the fundamental or core meaning of another entity.
-
C.
letterMeaning
Indicates that a particular letter conveys a specific meaning, interpretation, or semantic content.
-
D.
backgroundMeaning
Indicates that one entity provides contextual or underlying information that influences the interpretation or significance of another entity.
-
E.
oniMeaning
Indicates that one entity expresses or conveys the meaning or sense of another entity (such as a word, phrase, or symbol).
- 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.