Triple
T31582464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RMS (Record Management Services) |
E805863
|
entity |
| Predicate | supportsRecordFormat |
P207464
|
FINISHED |
| Object | fixed-length records |
—
|
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: fixed-length records | Statement: [RMS (Record Management Services), supportsRecordFormat, fixed-length records]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsRecordFormat Context triple: [RMS (Record Management Services), supportsRecordFormat, fixed-length records]
-
A.
supportsRecordSchemas
Indicates that one entity is capable of handling, validating, or operating with specified record schemas defined by another entity.
-
B.
supportsLibraryFormat
Indicates that one entity is capable of handling, using, or being compatible with a specified library format associated with another entity.
-
C.
supportsResponseFormat
Indicates that one entity can handle or is compatible with a specified response format produced or required by another entity.
-
D.
supportsBackupFormat
Indicates that one entity is capable of handling, storing, or operating with another entity as a backup data format.
-
E.
supportsRecordPacking
Indicates that one entity is capable of handling or enabling the packing of records into a more compact or bundled form for another entity or process.
- F. None of above. chosen
Provenance (4 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_69f348d3a86c8190a3e5e539a4dd125f |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 30, 2026, 10:24 p.m.