Triple
T1690520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Visual Studio Code |
E36538
|
entity |
| Predicate | supportsLanguage |
P2177
|
FINISHED |
| Object | Go |
E17649
|
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: Go | Statement: [Visual Studio Code, supportsLanguage, Go]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Go Context triple: [Visual Studio Code, supportsLanguage, Go]
-
A.
Go
chosen
Go is a statically typed, compiled programming language developed at Google, known for its simplicity, efficient concurrency support, and suitability for scalable networked and cloud services.
-
B.
gc (Go compiler)
gc is the original standard Go compiler implementation, written in C and later superseded by the Go-based `cmd/compile` toolchain.
-
C.
GÖ
GÖ is the vehicle registration code used on license plates for the city and district of Göttingen in Germany.
-
D.
Go!
"Go!" is a high-energy song featured on the album "Be," known for its upbeat tempo and motivational tone.
-
E.
Ga language
The Ga language is a Niger-Congo language spoken primarily by the Ga people in and around Accra, the capital of Ghana.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62979da48190a64a04bf352182e0 |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad79947c908190b807205bd44c3254 |
completed | March 8, 2026, 1:28 p.m. |
Created at: March 4, 2026, 7:29 p.m.