Triple
T29407397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PyGObject |
E745806
|
entity |
| Predicate | targetToolkit |
P92445
|
FINISHED |
| Object | GTK |
—
|
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: GTK | Statement: [PyGObject, targetToolkit, GTK]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetToolkit Context triple: [PyGObject, targetToolkit, GTK]
-
A.
toolkitName
chosen
Indicates that an entity is associated with or identified by the name of a specific toolkit.
-
B.
toolchain
Indicates a relationship where one entity is used as a coordinated set of tools or processes to build, compile, or transform another entity (typically software or code).
-
C.
toolType
Indicates the specific kind or category of tool associated with an entity.
-
D.
usesToolFor
Indicates that an agent employs a specific tool to carry out or facilitate a particular action or purpose.
-
E.
toolingArea
Indicates that one entity serves as the designated area or zone where tools or tooling-related activities for the other entity are located or performed.
- 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_69f0a79eb7d081908c67197a5f347e68 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fcdf2394748190b35cead3e208447d |
completed | May 7, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe344ec8190a0471911952f4b82 |
completed | May 7, 2026, 6:37 p.m. |
Created at: April 28, 2026, 2:55 p.m.