Triple

T22387058
Position Surface form Disambiguated ID Type / Status
Subject Zope Component Architecture E553421 entity
Predicate usedIn P98 FINISHED
Object BlueBream 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: BlueBream | Statement: [Zope Component Architecture, usedIn, BlueBream]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BlueBream
Context triple: [Zope Component Architecture, usedIn, BlueBream]
  • A. BlueBream chosen
    BlueBream is a Python-based web application framework, formerly known as Zope 3, designed for building scalable, component-oriented web applications.
  • B. Bluefish
    Bluefish is a former professional baseball team based in Bridgeport, Connecticut, that competed in the independent Atlantic League.
  • C. SUNFISH
    SUNFISH is a pivotal clinical trial program evaluating the efficacy and safety of risdiplam in patients with spinal muscular atrophy (SMA).
  • D. Apama
    Apama was a Seleucid princess of the Hellenistic period, known as a daughter of King Antiochus I Soter.
  • E. Blackfin
    Blackfin is a family of 16/32-bit embedded microprocessors from Analog Devices, designed for high-performance digital signal processing and control applications.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158304bcc81908c4c5db09a246bcc completed April 29, 2026, 1 a.m.
Created at: April 16, 2026, 8:45 p.m.