Triple
T36876520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sharkovsky ordering |
E911356
|
entity |
| Predicate | definesRelationOn |
P151657
|
FINISHED |
| Object | set of positive integers |
—
|
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: set of positive integers | Statement: [Sharkovsky ordering, definesRelationOn, set of positive integers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesRelationOn Context triple: [Sharkovsky ordering, definesRelationOn, set of positive integers]
-
A.
definesRelationshipBetween
Indicates that one entity specifies or establishes the nature, type, or rules of a relationship that exists between two or more other entities.
-
B.
definedByRelation
Indicates that one entity is specified, characterized, or given meaning through its relationship to another entity.
-
C.
definesRelationshipAs
Indicates that one entity explicitly specifies or establishes the type or nature of the relationship that holds between two or more entities.
-
D.
formalizesRelationBetween
chosen
Indicates a relationship in which one entity defines, codifies, or gives formal structure to the relationship that exists between two or more other entities.
-
E.
establishesRelationsBetween
Indicates that one entity creates, initiates, or formalizes a connection or association between two or more other entities.
- 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_69f76e82339881909607a65c0503d941 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fee335cb08819097e3a0e09d5ebf49 |
completed | May 9, 2026, 7:33 a.m. |
| PD | Predicate disambiguation | batch_69fee2c74fd88190acfc045ab07b7f6b |
completed | May 9, 2026, 7:31 a.m. |
Created at: May 3, 2026, 4:13 p.m.