Triple
T18799871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PySide2 |
E459731
|
entity |
| Predicate | usesBindingTechnology |
P1485
|
FINISHED |
| Object | Shiboken2 |
—
|
NE NERFINISHED |
How this triple was built (4 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: Shiboken2 | Statement: [PySide2, usesBindingTechnology, Shiboken2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shiboken2 Context triple: [PySide2, usesBindingTechnology, Shiboken2]
-
A.
Susukino
Susukino is Sapporo’s main entertainment and red-light district, known for its dense concentration of bars, restaurants, nightclubs, and neon-lit nightlife.
-
B.
Shibecha
Shibecha is a rural town in eastern Hokkaido, Japan, known for its dairy farming and proximity to the Kushiro Shitsugen wetlands.
-
C.
Shōbō
Shōbō was a Heian-period Buddhist monk and scholar credited with establishing the influential Daigo-ji temple in Kyoto, Japan.
-
D.
Shirakabe
Shirakabe was the personal name of Emperor Kōnin, a Nara-period Japanese ruler who reigned in the late 8th century.
-
E.
Shabako
Shabako is an alternative name for Shabaka, a Kushite pharaoh of Egypt’s Twenty-fifth Dynasty known for consolidating Nubian rule over Egypt.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shiboken2 Target entity description: Shiboken2 is a binding generator tool that creates Python bindings for C++ libraries, most notably used to enable the PySide2 (Qt for Python) framework.
-
A.
Susukino
Susukino is Sapporo’s main entertainment and red-light district, known for its dense concentration of bars, restaurants, nightclubs, and neon-lit nightlife.
-
B.
Shibecha
Shibecha is a rural town in eastern Hokkaido, Japan, known for its dairy farming and proximity to the Kushiro Shitsugen wetlands.
-
C.
Shōbō
Shōbō was a Heian-period Buddhist monk and scholar credited with establishing the influential Daigo-ji temple in Kyoto, Japan.
-
D.
Shirakabe
Shirakabe was the personal name of Emperor Kōnin, a Nara-period Japanese ruler who reigned in the late 8th century.
-
E.
Shabako
Shabako is an alternative name for Shabaka, a Kushite pharaoh of Egypt’s Twenty-fifth Dynasty known for consolidating Nubian rule over Egypt.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesBindingTechnology Context triple: [PySide2, usesBindingTechnology, Shiboken2]
-
A.
associatedWithTechnology
chosen
Indicates a relationship where an entity is connected to, involved with, or utilizes a particular technology.
-
B.
enablesTechnology
Indicates that one entity makes it possible for another entity, system, or process to function through the use or provision of a particular technology.
-
C.
usesVehicleTechnology
Indicates that an entity employs or applies a specific vehicle-related technology in its operations, products, or activities.
-
D.
laterUsedTechnology
Indicates that one entity adopted or employed a technology after another entity had already used it.
-
E.
usesSearchTechnologyFrom
Indicates that one entity employs or relies on the search technology developed or provided 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a02273b481909bc250144a0ace32 |
completed | April 20, 2026, 3:40 a.m. |
| PD | Predicate disambiguation | batch_69e48d16dd34819096e096d0c0e4c15c |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.