Triple

T11957145
Position Surface form Disambiguated ID Type / Status
Subject XQuartz E284581 entity
Predicate includesComponent P1393 FINISHED
Object xhost E59590 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: xhost | Statement: [XQuartz, includesComponent, xhost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: xhost
Context triple: [XQuartz, includesComponent, xhost]
  • A. X11 chosen
    X11 is a widely used windowing system and network-transparent graphical protocol that provides the foundational GUI framework for Unix-like operating systems.
  • B. XDM
    XDM (XQuery and XPath Data Model) is the formal data model used by XQuery and XPath to represent and process XML and related data types in a standardized way.
  • C. XHP
    XHP is a PHP extension for Facebook's Hack language that lets developers write XML-like syntax directly in code to create robust, type-safe user interface components.
  • D. XHP
    XHP is the IATA station code assigned to Paris's Gare de l'Est railway station.
  • E. XCA
    XCA (Cross-Community Access) is an IHE IT Infrastructure profile that enables the discovery and retrieval of patient health records across different healthcare communities or domains.
  • 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_69d6ab2db38c8190b1f0ed6663ef8ada completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903681a00819098c2b5260e2ef834 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459210d1c8190953cd01da3d2ad04 completed May 1, 2026, 7:41 a.m.
Created at: April 8, 2026, 9:45 p.m.