Triple

T12515132
Position Surface form Disambiguated ID Type / Status
Subject ELF E299174 entity
Predicate usedBy P260 FINISHED
Object OpenBSD E100302 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: OpenBSD | Statement: [ELF, usedBy, OpenBSD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OpenBSD
Context triple: [ELF, usedBy, OpenBSD]
  • A. OpenBSD chosen
    OpenBSD is a free, security-focused, Unix-like operating system known for its code correctness, proactive security features, and integrated cryptographic tools.
  • B. FreeBSD
    FreeBSD is a free and open-source Unix-like operating system known for its reliability, advanced networking features, and use in servers, storage, and embedded systems.
  • C. NetBSD
    NetBSD is a free, open-source, Unix-like operating system known for its portability and clean design, supporting a wide range of hardware platforms.
  • D. OpenBSD Foundation
    The OpenBSD Foundation is a non-profit organization that supports the development and infrastructure of the OpenBSD operating system and its related open-source projects.
  • E. BSD
    BSD (Berkeley Software Distribution) is a family of Unix-like operating systems derived from research at the University of California, Berkeley, known for their permissive licensing and influence on many modern OSes.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541e752c8190bf12d2b5a37b53df completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655745cec8190b5582eb4a339d501 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.