Triple
T11656322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enterprise Manager |
E277019
|
entity |
| Predicate | replacedFor |
P29646
|
FINISHED |
| Object | SQL Server administration |
—
|
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: SQL Server administration | Statement: [Enterprise Manager, replacedFor, SQL Server administration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacedFor Context triple: [Enterprise Manager, replacedFor, SQL Server administration]
-
A.
replacedWith
chosen
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
B.
replacedBecause
Indicates that one entity has been substituted for another specifically due to a particular reason or cause.
-
C.
replacedDuring
Indicates that one entity took the place of another entity during a specified time period or interval.
-
D.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
E.
replacedForGroup
Indicates that one entity has been substituted or exchanged in place of another on behalf of, or in the context of, a particular group.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a3d0331481909682b2e504e4c9a0 |
completed | April 10, 2026, 7:16 a.m. |
| PD | Predicate disambiguation | batch_69d85ddc780481909a3bc63832fe2bd2 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.