Triple

T227366
Position Surface form Disambiguated ID Type / Status
Subject Congo River mouth E4339 entity
Predicate hasDelta P9313 FINISHED
Object no large classic delta 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: no large classic delta | Statement: [Congo River mouth, hasDelta, no large classic delta]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDelta
Context triple: [Congo River mouth, hasDelta, no large classic delta]
  • A. formsDeltaAt
    Indicates that one entity creates or gives rise to a change, difference, or deviation (a “delta”) in another entity at a specific point or context.
  • B. hasHistoricalShiftFrom
    Indicates a relationship where one state, practice, or condition has been replaced or transformed over time from another earlier state, practice, or condition.
  • C. isUpdated
    Indicates that an entity has been modified or brought to a more recent state compared to its previous version or a reference point.
  • D. hasHistoricalShiftTo
    Indicates a change over time in which one state, condition, or configuration is replaced or transformed into another in a historically traceable way.
  • E. hasLegalChange
    Indicates that an entity has undergone or is associated with a modification in its legal status, rights, obligations, or regulatory conditions.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25d10ac248190a98dedabf5358668 completed Feb. 28, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69a25b5877588190af694d060377f027 completed Feb. 28, 2026, 3:04 a.m.
PDg Predicate description generation batch_69a25d0ec71081908478c800be4f7bb0 completed Feb. 28, 2026, 3:12 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.