Triple

T4325379
Position Surface form Disambiguated ID Type / Status
Subject Jinja2 E96622 entity
Predicate previouslySupportedVersion P56254 FINISHED
Object Python 2 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: Python 2 | Statement: [Jinja2, previouslySupportedVersion, Python 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: previouslySupportedVersion
Context triple: [Jinja2, previouslySupportedVersion, Python 2]
  • A. previouslySupported
    Indicates that an entity provided support to another entity at some time in the past, but not necessarily in the present.
  • B. previousVersionAdopted
    Indicates that one entity has been adopted or implemented as a successor to an earlier version represented by the other entity.
  • C. predecessorVersion
    Indicates that one entity is an earlier or prior version in a version sequence relative to another entity.
  • D. backwardCompatibleWith
    Indicates that one entity can correctly interpret, use, or function with data, interfaces, or behavior designed for an earlier version of another entity.
  • E. principalVersionFor
    Indicates a relationship where one version of an entity is designated as the primary or authoritative version for another related entity.
  • F. None of above. chosen

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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3512ec18481908a7b5c29b3902b53 completed March 12, 2026, 11:50 p.m.
PD Predicate disambiguation batch_69b34f4bec888190987fc2631498b637 completed March 12, 2026, 11:42 p.m.
PDg Predicate description generation batch_69b3501834448190bedf775a80da4778 completed March 12, 2026, 11:45 p.m.
Created at: March 12, 2026, 11:13 p.m.