Triple
T8151990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Excel Professional Plus editions |
E190353
|
entity |
| Predicate | editionLevel |
P4629
|
FINISHED |
| Object | higher-tier edition |
—
|
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: higher-tier edition | Statement: [Excel Professional Plus editions, editionLevel, higher-tier edition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: editionLevel Context triple: [Excel Professional Plus editions, editionLevel, higher-tier edition]
-
A.
editionNumber
Indicates the specific sequential number assigned to an edition of a work within its series of published versions.
-
B.
edition
chosen
Indicates that one entity is a specific version, issue, or release of another (typically a work such as a book, journal, or software).
-
C.
levels
Indicates that one entity adjusts, equalizes, or smooths out the height, intensity, or degree of another entity.
-
D.
codificationLevel
Indicates the degree or extent to which something is formally systematized, standardized, or encoded into an explicit set of rules or structures.
-
E.
enrollmentLevel
Indicates the degree or status of participation an entity has in a particular enrollment context (such as a program, course, or service).
- 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_69ca82be7ba8819087de0147e9292c83 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4483799c81908e73f9a87ed99185 |
completed | March 31, 2026, 3:50 a.m. |
| PD | Predicate disambiguation | batch_69cb36a0847c8190af9038aef78319b3 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:37 p.m.