Triple
T37656858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SQL Mail |
E937623
|
entity |
| Predicate | documentationLabel |
P21560
|
FINISHED |
| Object | SQL Mail |
—
|
NE NERFINISHED |
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 Mail | Statement: [SQL Mail, documentationLabel, SQL Mail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentationLabel Context triple: [SQL Mail, documentationLabel, SQL Mail]
-
A.
documentationName
Indicates the name or title assigned to a specific piece of documentation.
-
B.
labelOf
chosen
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
C.
documentationType
Indicates the specific category or kind of documentation associated with or required for an entity or process.
-
D.
documentedBy
Indicates that something is recorded, described, or evidenced in a specific document or set of documents.
-
E.
labelMate
Indicates that two entities are associated with the same label, such as being signed to or represented by the same organization, brand, or record label.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbaa1321b48190af92a3e7ec24ec5b |
completed | May 6, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69fba8860f98819080b7bab05837b974 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.