Triple
T22423054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erdős number concept |
E554296
|
entity |
| Predicate | baseCaseDescription |
P148121
|
FINISHED |
| Object | Pál Erdős himself has Erdős number 0 |
—
|
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: Pál Erdős himself has Erdős number 0 | Statement: [Erdős number concept, baseCaseDescription, Pál Erdős himself has Erdős number 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baseCaseDescription Context triple: [Erdős number concept, baseCaseDescription, Pál Erdős himself has Erdős number 0]
-
A.
indexCaseDescription
Indicates a textual description that explains the circumstances, characteristics, or details of the initial or primary case in a set of related cases.
-
B.
basedOnDescription
Indicates that one entity is derived, determined, or inferred from the description or textual details of another entity.
-
C.
backDescription
Indicates that an entity provides a description or textual information specifically about the back side or rear view of another entity.
-
D.
caseTypes
Indicates the types or categories of cases associated with or applicable to an entity or situation.
-
E.
primaryCase
Indicates that an entity is the main or leading instance in a set of related cases or occurrences.
- 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_69e11e4f2d0c819091aa3558ea2ee630 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15a2af620819083338127e78137dc |
completed | April 29, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69e8989495bc81909d2699fce5992e28 |
completed | April 22, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69e8aa39e3388190b659d59948ebf3e6 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:47 p.m.