Triple

T5240732
Position Surface form Disambiguated ID Type / Status
Subject Rock Ridge E118332 entity
Predicate usedOn P2367 FINISHED
Object Solaris E68039 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: Solaris | Statement: [Rock Ridge, usedOn, Solaris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Solaris
Context triple: [Rock Ridge, usedOn, Solaris]
  • A. Solaris
    Solaris is a 1972 Soviet science fiction film by Andrei Tarkovsky that explores memory, grief, and human consciousness aboard a space station orbiting a mysterious planet.
  • B. Solaris operating system chosen
    Solaris operating system is a Unix-based enterprise operating system known for its scalability, robustness, and advanced features such as ZFS, DTrace, and strong support for SPARC and x86 architectures.
  • C. Hurd
    Hurd is an English surname borne by various notable figures, including politicians, athletes, and artists.
  • D. Orbis OS
    Orbis OS is Sony's customized operating system for the PlayStation 4, built on a modified version of FreeBSD to power the console's gaming and multimedia features.
  • E. Sistema
    Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
  • 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_69bd4467db0881909b3b0982df32cc8f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b2c50508190b84bab216c30cbfe completed March 20, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef8278cb88190aa1e0a42d2f8fe8d completed March 21, 2026, 7:57 p.m.
Created at: March 20, 2026, 1:49 p.m.