Triple
T29423296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairo |
E746214
|
entity |
| Predicate | supportsProgrammingLanguageBinding |
P83858
|
FINISHED |
| Object | C++ |
E13747
|
NE 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: C++ | Statement: [Cairo, supportsProgrammingLanguageBinding, C++]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsProgrammingLanguageBinding Context triple: [Cairo, supportsProgrammingLanguageBinding, C++]
-
A.
supportsLanguageBindingSystem
chosen
Indicates that one entity provides mechanisms or infrastructure that enable another entity to create, use, or integrate language bindings for a system or platform.
-
B.
supportsProgrammingArtifact
Indicates that one entity provides the necessary functionality, environment, or resources for a programming-related artifact (such as code, tools, or frameworks) to operate or be effectively used.
-
C.
supportsDevelopmentLanguage
Indicates that one entity provides compatibility with, tools for, or the ability to use a particular programming or development language.
-
D.
usesScriptingLanguage
Indicates that an entity employs a scripting language to perform its operations, configuration, or automation tasks.
-
E.
programLanguage
Indicates that an entity is implemented, written, or expressed using a particular programming language.
- F. None of above.
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_69f0a7a06e0081908add494075912eb4 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a25d91aa7cc819082409393cd289019 |
completed | June 7, 2026, 8:48 p.m. |
| PD | Predicate disambiguation | batch_6a0379e0f3d88190a4ee7b0673f1ef90 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 28, 2026, 3:07 p.m.