Triple

T8285162
Position Surface form Disambiguated ID Type / Status
Subject FUSE (Filesystem in Userspace) E193770 entity
Predicate hasBinding P37017 FINISHED
Object Python E3372 NE FINISHED

How this triple was built (3 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: Python | Statement: [FUSE (Filesystem in Userspace), hasBinding, Python]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Python
Context triple: [FUSE (Filesystem in Userspace), hasBinding, Python]
  • A. Python
    Python is a monstrous serpent or dragon from Greek mythology, best known for being slain by the god Apollo at Delphi.
  • B. Python chosen
    Python is a high-level, versatile programming language widely used for data analysis, machine learning, web development, and automation.
  • C. Pythonidae
    Pythonidae is a family of nonvenomous constrictor snakes that includes pythons found across Africa, Asia, and Australia.
  • D. PyPy
    PyPy is a high-performance alternative Python interpreter featuring a Just-In-Time (JIT) compiler designed to significantly speed up the execution of Python programs.
  • E. PY
    PY is the two-letter ISO 3166-1 alpha-2 country code assigned to Paraguay.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBinding
Context triple: [FUSE (Filesystem in Userspace), hasBinding, Python]
  • A. isNotBindingOn
    Indicates that an agreement, rule, or obligation does not have legal or enforceable effect on the referenced entity.
  • B. hasBindingEnergy
    Indicates that one entity possesses or is characterized by a specific amount of binding energy associated with its formation or stability.
  • C. bindsTo chosen
    Indicates that one entity physically or functionally attaches or connects to another, often with some specificity or selectivity in the interaction.
  • D. isNonBinding
    Indicates that the relationship or agreement exists but does not create any legally or formally enforceable obligation between the involved entities.
  • E. hasBondType
    Indicates the specific kind of bond or connection that exists between two related entities.
  • F. None of above.

Provenance (4 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7ad20ae481908179aba245c73fad completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd680b0f608190b69336228346b47d completed April 1, 2026, 6:46 p.m.
PD Predicate disambiguation batch_69cb70ad9fc081908741f8c4a4141edf completed March 31, 2026, 6:58 a.m.
Created at: March 30, 2026, 5:52 p.m.