Triple
T27845649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augustine Commission |
E703812
|
entity |
| Predicate | recommendedConcept |
P58814
|
FINISHED |
| Object | flexible path exploration strategy |
—
|
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: flexible path exploration strategy | Statement: [Augustine Commission, recommendedConcept, flexible path exploration strategy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recommendedConcept Context triple: [Augustine Commission, recommendedConcept, flexible path exploration strategy]
-
A.
featuredConcept
Indicates that one concept is highlighted or given special prominence relative to others in a particular context.
-
B.
recommendedIn
chosen
Indicates that one entity is suggested or endorsed within the context, content, or scope of another entity (such as a document, list, or recommendation source).
-
C.
commendedFor
Indicates that one entity has expressed praise or approval toward another entity specifically because of a particular action, quality, or achievement.
-
D.
recommendedDirection
Indicates the direction that is advised or suggested as the preferred way to move, orient, or proceed in a given context.
-
E.
recommendedProgram
Indicates that one entity suggests or endorses another entity as a suitable or preferred program for a particular purpose or user.
- 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_69ef840d9e3c819093615ebff4ec22be |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6895f0819088655277e45859a8 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 6:07 p.m.