Triple
T22423056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erdős number concept |
E554296
|
entity |
| Predicate | number2Description |
P127091
|
FINISHED |
| Object | authors who coauthored with an Erdős‑1 author but not with Erdős directly have Erdős number 2 |
—
|
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: authors who coauthored with an Erdős‑1 author but not with Erdős directly have Erdős number 2 | Statement: [Erdős number concept, number2Description, authors who coauthored with an Erdős‑1 author but not with Erdős directly have Erdős number 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: number2Description Context triple: [Erdős number concept, number2Description, authors who coauthored with an Erdős‑1 author but not with Erdős directly have Erdős number 2]
-
A.
numberDescribedAs
Indicates that a number is characterized, labeled, or referred to using a particular description or phrase.
-
B.
number
Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
-
C.
outputDescription
Indicates that an entity produces or generates a particular description as its output.
-
D.
definitionInWords
chosen
Indicates that one entity provides a verbal or textual explanation or meaning for another entity.
-
E.
hasNumberOfFeaturesDescribed
Indicates that an entity is associated with a specific count of its features that have been described.
- 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_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. |
Created at: April 16, 2026, 8:47 p.m.