Triple
T7338008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R-pentomino |
E169178
|
entity |
| Predicate | stabilizationGenerations |
P8002
|
FINISHED |
| Object | 1103 |
—
|
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: 1103 | Statement: [R-pentomino, stabilizationGenerations, 1103]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stabilizationGenerations Context triple: [R-pentomino, stabilizationGenerations, 1103]
-
A.
stabilizedBy
Indicates that an entity’s state, structure, or behavior is made more steady, secure, or resistant to change through the influence or support of another entity.
-
B.
hasGenerations
Indicates a relationship where an entity is associated with one or more successive generational levels or cohorts derived from it.
-
C.
finalGenerationOf
Indicates that one entity represents the last or ultimate generation or iteration in a sequence or lineage of another entity.
-
D.
stabilityPolicy
Indicates that a policy defines or influences the conditions under which a system, process, or arrangement remains stable over time.
-
E.
generationCount
chosen
Indicates the number of times a process, entity, or version has been created, iterated, or regenerated within a sequence or lifecycle.
- 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_69c68a57710481909f0c1f3c6ebdb6f2 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f347f25081908e6086d4073295f5 |
completed | March 27, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69c6f028fd748190b2ea5c3081958a42 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:04 p.m.