Triple

T8828288
Position Surface form Disambiguated ID Type / Status
Subject Linus’s Law E210070 entity
Predicate associatedWithDevelopmentModel P81301 FINISHED
Object bazaar model of software development LITERAL 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: bazaar model of software development | Statement: [Linus’s Law, associatedWithDevelopmentModel, bazaar model of software development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithDevelopmentModel
Context triple: [Linus’s Law, associatedWithDevelopmentModel, bazaar model of software development]
  • A. associatedModelGeneration
    Indicates that one entity is responsible for creating, producing, or generating another related model or representation.
  • B. associatedWithMode chosen
    Indicates a relationship in which something is linked or connected to a particular mode, method, or manner of operation or behavior.
  • C. associatedWithFront
    Indicates a relationship where one entity is linked or connected specifically to the front part, side, or face of another entity.
  • D. associatedWithUnit
    Indicates that one entity has a connection, linkage, or affiliation with a particular unit (such as a division, department, or organizational subunit).
  • E. alsoDevelopedIn
    Indicates that something was additionally developed in another context, location, or environment beyond the primary one already specified.
  • F. None of above.

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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc604ac0288190b59344bced8ac733 completed April 1, 2026, 12:01 a.m.
PD Predicate disambiguation batch_69cc5c23d08481908d8c9b0ad3d1dc00 completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:47 p.m.