Triple

T11704451
Position Surface form Disambiguated ID Type / Status
Subject Internet Information Services E278203 entity
Predicate supportsTechnology P5090 FINISHED
Object CGI E803464 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: CGI | Statement: [Internet Information Services, supportsTechnology, CGI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CGI
Context triple: [Internet Information Services, supportsTechnology, CGI]
  • A. CGI chosen
    CGI is a standard protocol that enables web servers to execute external programs and dynamically generate web content in response to user requests.
  • B. Cg
    Cg is a high-level shading language developed by NVIDIA for programming graphics processing units, similar in design and purpose to HLSL.
  • C. CGA
    CGA (Color Graphics Adapter) is IBM's early color display standard for the original IBM PC, capable of low-resolution graphics and basic color text output.
  • D. CGA
    CGA is the ICAO airline designator assigned to Congo Airways, the flag carrier of the Democratic Republic of the Congo.
  • E. .cg
    .cg is the country code top-level domain (ccTLD) assigned to the Republic of the Congo for use in its internet addresses.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49c8c38819083d83f5fdec52b7f completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83525ae081909ee6f3fbb5d37dd7 completed April 27, 2026, 3:40 p.m.
Created at: April 8, 2026, 9:40 p.m.