Triple

T38527307
Position Surface form Disambiguated ID Type / Status
Subject Indonesian Throughflow E923262 entity
Predicate volumeTransportRange P191174 FINISHED
Object about 10 to 20 Sverdrups 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: about 10 to 20 Sverdrups | Statement: [Indonesian Throughflow, volumeTransportRange, about 10 to 20 Sverdrups]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: volumeTransportRange
Context triple: [Indonesian Throughflow, volumeTransportRange, about 10 to 20 Sverdrups]
  • A. transportDomain
    Indicates a relationship where an entity operates or functions within the domain or context of transportation activities or systems.
  • B. supportsCrossTenancyRestrictions
    Indicates that the subject allows or enforces restrictions on interactions or access that span across different tenants or organizational boundaries.
  • C. volumeLimitationBasis
    Indicates the rule, criterion, or reference measure used as the basis for determining a limitation on volume.
  • D. reservedRange
    Indicates that a specific range of values (such as numbers or identifiers) is set aside and cannot be used for regular assignments within the given context.
  • E. operationalRange
    Indicates the span of conditions (such as distance, time, or environment) within which a system, device, or process can function effectively and safely.
  • 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_69f76ea8f6348190a5c03fb6292bbee3 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdaa36f90819093f8661969990c7d completed May 7, 2026, 6:32 p.m.
PD Predicate disambiguation batch_69fcd8fefc588190b063d7ea1ec87b07 completed May 7, 2026, 6:25 p.m.
PDg Predicate description generation batch_69fcdaa2bfc08190beccabb0f1782d0d completed May 7, 2026, 6:32 p.m.
Created at: May 3, 2026, 4:32 p.m.