Triple

T37464480
Position Surface form Disambiguated ID Type / Status
Subject Twinspell E930999 entity
Predicate similarToMechanic P187962 FINISHED
Object Echo NE NERFINISHED

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: Echo | Statement: [Twinspell, similarToMechanic, Echo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: similarToMechanic
Context triple: [Twinspell, similarToMechanic, Echo]
  • A. hasClockMechanismSimilarTo
    Indicates that one entity’s clock mechanism is similar in structure, function, or design to that of another entity.
  • B. relatedMechanism
    Indicates a causal or functional connection where one entity serves as the mechanism or process through which another entity’s effect, behavior, or outcome is brought about.
  • C. associatedWithMechanic
    Indicates a relationship where an entity is connected or linked to a mechanic, such as a process, rule, or functional mechanism involved in its operation or behavior.
  • D. mechanicalCompatibility
    Indicates that two entities can function together properly from a mechanical standpoint, without interference, damage, or performance issues.
  • E. mecanismo
    Indicates a mechanism or means by which one entity brings about, enables, or explains the effect, function, or outcome in another 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_69f76ec1a1148190b0a961f188d621b0 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb92efc5948190a040ba2028bab964 completed May 6, 2026, 7:13 p.m.
PD Predicate disambiguation batch_69fb8d0b52588190bb29937a43b99b5e completed May 6, 2026, 6:48 p.m.
PDg Predicate description generation batch_69fb92ee27408190b0116ef2d789abac completed May 6, 2026, 7:13 p.m.
Created at: May 3, 2026, 4:17 p.m.