Triple

T31943839
Position Surface form Disambiguated ID Type / Status
Subject V_ts E815593 entity
Predicate measuredIndirectly P76537 FINISHED
Object true 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: true | Statement: [V_ts, measuredIndirectly, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: measuredIndirectly
Context triple: [V_ts, measuredIndirectly, true]
  • A. isNotDirectlyMeasurableWith chosen
    Indicates that one quantity cannot be obtained through a straightforward, direct measurement using the specified instrument, method, or unit, and must instead be inferred or derived indirectly.
  • B. measured
    Indicates that one entity has determined or quantified a property, amount, or extent of another entity using some standard or instrument.
  • C. measuredBy
    Indicates that something’s quantity, extent, or value is determined or expressed using a particular measurement method, instrument, or unit.
  • D. measuredAs
    Indicates that one entity’s quantity, value, or property is expressed or recorded using another entity as its measurement or unit.
  • E. measuredFrom
    Indicates that a measurement or value is determined relative to, or using, a specified reference point or source.
  • 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_69f348f42d188190a33fc8d20ec50517 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b2758cec8190b0521eb7f2eccb42 completed May 3, 2026, 2:27 a.m.
PD Predicate disambiguation batch_69f6b14faf608190a25b977c0740729c completed May 3, 2026, 2:22 a.m.
Created at: May 1, 2026, 12:06 a.m.