Triple
T7338033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | R-pentomino |
E169178
|
entity |
| Predicate | startingConfigurationType |
P37034
|
FINISHED |
| Object | finite pattern |
—
|
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: finite pattern | Statement: [R-pentomino, startingConfigurationType, finite pattern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startingConfigurationType Context triple: [R-pentomino, startingConfigurationType, finite pattern]
-
A.
starterType
Indicates the classification or category of a starter (e.g., initial component, opening item, or first phase) associated with an entity or process.
-
B.
defaultConfigurationTool
Indicates that one tool is designated as the standard or primary utility used for configuring another system or component.
-
C.
firstStageType
chosen
Indicates that one entity is the type or category of the first stage or initial phase associated with another entity.
-
D.
laterConfiguration
Indicates that one configuration occurs after another in time, representing a subsequent or later state relative to a prior configuration.
-
E.
configurationName
Indicates the specific label or identifier assigned to a particular configuration setting or setup.
- 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.