Triple

T4325739
Position Surface form Disambiguated ID Type / Status
Subject uWSGI E96630 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: [uWSGI, supportsLanguage, Go]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Go
Context triple: [uWSGI, supportsLanguage, Go]
  • A. Go
    Go is an ancient East Asian abstract strategy board game, renowned for its simple rules yet immense strategic depth, played on a grid with black and white stones.
  • B. 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.
  • C. Go
    "Go" is a surf rock song, likely characterized by upbeat rhythms and guitar-driven melodies typical of the genre.
  • D. go90
    go90 was a now-defunct American mobile video streaming service owned by Verizon that offered live and on-demand sports, entertainment, and original programming.
  • E. gc (Go compiler)
    gc is the original standard Go compiler implementation, written in C and later superseded by the Go-based `cmd/compile` toolchain.
  • 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3513020f481909ff2fec3934f3002 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d09861a4819086a88bb42a8ea2e4 completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:13 p.m.