Triple
T7338072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diehard |
E169179
|
entity |
| Predicate | hasConfigurationType |
P13644
|
FINISHED |
| Object | finite initial configuration |
—
|
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 initial configuration | Statement: [Diehard, hasConfigurationType, finite initial configuration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConfigurationType Context triple: [Diehard, hasConfigurationType, finite initial configuration]
-
A.
hasConfiguration
chosen
Indicates that an entity is associated with or defined by a particular configuration or setup.
-
B.
hasProjectType
Indicates that an entity is associated with, or classified under, a specific type or category of project.
-
C.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
D.
hasConfigurationFile
Indicates that an entity is associated with or defined by a specific configuration file.
-
E.
hasPackageType
Indicates that an entity is associated with or classified under a particular type or category of package.
- 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.