Triple
T31080092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maildir |
E792074
|
entity |
| Predicate | purposeOfTmpDirectory |
P171331
|
FINISHED |
| Object | holding messages during delivery |
—
|
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: holding messages during delivery | Statement: [Maildir, purposeOfTmpDirectory, holding messages during delivery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: purposeOfTmpDirectory Context triple: [Maildir, purposeOfTmpDirectory, holding messages during delivery]
-
A.
temporaryLocation
Indicates that an entity is located at a place for a limited or non-permanent duration.
-
B.
temporaryStructureFor
Indicates that one entity serves as a non-permanent or provisional structure intended to support, house, or substitute for another entity.
-
C.
isTemporary
Indicates that the relationship, state, or condition holds only for a limited or non-permanent duration.
-
D.
temporaryNameOf
Indicates that one entity serves as a provisional or interim name assigned to another entity, intended to be replaced by a permanent name later.
-
E.
temporaryFormat
Indicates a relationship where something is given a non-permanent or provisional format, structure, or representation intended only for temporary use.
- 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_69f224ccdbbc81909b0cdb4cc2d70c7a |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69dfbf6ac8190ba2e6fc0adfd8b73 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 29, 2026, 9:02 p.m.