Triple

T18530110
Position Surface form Disambiguated ID Type / Status
Subject DependencyInjection E452810 entity
Predicate supportsConfigurationFormat P63092 FINISHED
Object XML NE NERFINISHED

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: XML | Statement: [DependencyInjection, supportsConfigurationFormat, XML]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XML
Context triple: [DependencyInjection, supportsConfigurationFormat, XML]
  • A. XML chosen
    XML (Extensible Markup Language) is a flexible, text-based markup language designed for structuring, storing, and transporting data in a platform-independent way.
  • B. XHTML
    XHTML is a reformulation of HTML as an XML-based markup language designed to create structured, standards-compliant web pages.
  • C. XML Schema
    XML Schema is a W3C standard language used to define the structure, content, and data types of XML documents.
  • D. AXB
    AXB is the ICAO airline designator assigned to Air India Express, the Indian low-cost carrier.
  • E. SAX
    SAX (Simple API for XML) is an event-driven, streaming XML parsing interface commonly used for efficiently processing large XML documents in a forward-only manner.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e533fb940c81909d4ad9fc37f47829 completed April 19, 2026, 7:58 p.m.
Created at: April 10, 2026, 11:37 a.m.