Triple

T7895004
Position Surface form Disambiguated ID Type / Status
Subject COM+ E183322 entity
Predicate relatedTo P37 FINISHED
Object DCOM E183321 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: DCOM | Statement: [COM+, relatedTo, DCOM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DCOM
Context triple: [COM+, relatedTo, DCOM]
  • A. DCOM chosen
    DCOM (Distributed Component Object Model) is a Microsoft technology that extends COM to support communication among software components over a network, enabling distributed, component-based applications.
  • B. COM+
    COM+ is a Microsoft component software technology that extends the Component Object Model (COM) with services like transactions, security, and object pooling to support scalable, distributed applications.
  • C. DCAM
    DCAM is a major clinical and research facility of the University of Chicago Medicine that houses advanced outpatient care and specialty services.
  • D. DCOMP
    DCOMP is the APS Division of Computational Physics, a professional unit within the American Physical Society that promotes research and collaboration in computational methods across all areas of physics.
  • E. FreeCOM
    FreeCOM is the default command-line interpreter (command.com replacement) used by the FreeDOS operating system.
  • 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_69ca828c474c8190a254d6499871eaff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a174574819084270dbb6fcbb7fe completed March 31, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc562c6e188190adbdf99479170920 completed March 31, 2026, 11:18 p.m.
Created at: March 30, 2026, 5:01 p.m.