Triple

T17154501
Position Surface form Disambiguated ID Type / Status
Subject BHD E416308 entity
Predicate minorUnitPerUnit P32237 FINISHED
Object 1000 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: 1000 | Statement: [BHD, minorUnitPerUnit, 1000]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: minorUnitPerUnit
Context triple: [BHD, minorUnitPerUnit, 1000]
  • A. minorUnitsPerUnit chosen
    Indicates the number of smaller sub-units that collectively make up one whole unit in a given measurement or currency system.
  • B. minorUnitExponent
    Indicates the power-of-ten exponent that defines how a minor unit relates in scale to its corresponding major unit.
  • C. minorUnitName
    Indicates the name assigned to a smaller or subordinate unit within a larger structured entity or system.
  • D. minorUnitSubdivisions
    Indicates that one administrative or organizational unit is subdivided into smaller, subordinate units.
  • E. minorUnitUsage
    Indicates how a minor or subordinate unit is used or functions in relation to a larger or primary unit.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f40a6b7c8190838e588c4fd81d95 completed April 18, 2026, 9:13 p.m.
PD Predicate disambiguation batch_69e3830d2a90819092386717dc56f0e8 completed April 18, 2026, 1:11 p.m.
Created at: April 10, 2026, 5:37 a.m.