Triple
T17557225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEP 518 |
E427618
|
entity |
| Predicate | definesLocation |
P127915
|
FINISHED |
| Object | build configuration in pyproject.toml instead of setup.cfg |
—
|
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: build configuration in pyproject.toml instead of setup.cfg | Statement: [PEP 518, definesLocation, build configuration in pyproject.toml instead of setup.cfg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesLocation Context triple: [PEP 518, definesLocation, build configuration in pyproject.toml instead of setup.cfg]
-
A.
designLocation
Indicates the place or setting where something is conceived, planned, or designed.
-
B.
deltaLocation
Indicates a change or difference between two locations, typically specifying how one location has shifted relative to another.
-
C.
setLocation
Indicates assigning or updating the place or position where an entity is located.
-
D.
labelLocation
Indicates that a label or identifier is associated with a specific spatial or geographic location.
-
E.
subjectLocation
Indicates that one entity is located at, in, or near the place or position specified by another entity.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4562413d08190acaa5272046d3626 |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.