Triple
T23737564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell numbers |
E586577
|
entity |
| Predicate | B10 |
P153484
|
FINISHED |
| Object | 115975 |
—
|
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: 115975 | Statement: [Bell numbers, B10, 115975]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: B10 Context triple: [Bell numbers, B10, 115975]
-
A.
B_10
Indicates that one entity is located inside or contained within another entity.
-
B.
B_1
Indicates that one entity is the first or primary instance/member in an ordered series or group relative to another entity.
-
C.
B1
Indicates a primary or baseline relationship between two entities, often serving as the first or main instance in a series of related connections.
-
D.
B0
Indicates that one entity is the primary or baseline reference point (e.g., default, initial, or base state) in relation to another entity.
-
E.
B_4
Indicates a specific type of relationship or interaction labeled as "B_4" between entities, whose exact nature depends on the domain-specific definition of this predicate.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad356c88190ae29ce403145ee73 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
| PDg | Predicate description generation | batch_69f15adb23d88190ac2632299c26a9b3 |
completed | April 29, 2026, 1:11 a.m. |
Created at: April 17, 2026, 7:11 p.m.