Triple
T4279271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PL/Python |
E97110
|
entity |
| Predicate | mapsToPythonTypeSystem |
P9923
|
FINISHED |
| Object | PostgreSQL scalar types |
—
|
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: PostgreSQL scalar types | Statement: [PL/Python, mapsToPythonTypeSystem, PostgreSQL scalar types]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapsToPythonTypeSystem Context triple: [PL/Python, mapsToPythonTypeSystem, PostgreSQL scalar types]
-
A.
mapsToIdentifierType
Indicates that one entity is associated with, or converted into, a specific type of identifier.
-
B.
mapsTo
chosen
Indicates that one entity is associated with or transformed into another entity, typically defining a directional correspondence or function from a source to a target.
-
C.
typicalMapping
Indicates a standard or commonly used correspondence between elements of one set, structure, or representation and those of another.
-
D.
mapsFrom
Indicates that one entity is derived, transformed, or constructed based on data, structure, or content originating from another entity.
-
E.
transformsUnder
Indicates a relationship where one entity changes form, state, or structure when subjected to the influence, conditions, or operation specified by another entity.
- 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_69b34544be3c819084d1ab82d29f90c5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b350367da48190b735deef9b5d2d2e |
completed | March 12, 2026, 11:45 p.m. |
| PD | Predicate disambiguation | batch_69b347faa45481908c19c29fb906dc92 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:07 p.m.