Triple

T10138384
Position Surface form Disambiguated ID Type / Status
Subject Lomagundi–Jatuli carbon isotope excursion E226917 entity
Predicate hasCauseHypothesis P10735 FINISHED
Object increased primary productivity 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: increased primary productivity | Statement: [Lomagundi–Jatuli carbon isotope excursion, hasCauseHypothesis, increased primary productivity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCauseHypothesis
Context triple: [Lomagundi–Jatuli carbon isotope excursion, hasCauseHypothesis, increased primary productivity]
  • A. hasProposedCause chosen
    Indicates that one entity is suggested or hypothesized to be the cause or explanation for another entity or event.
  • B. functionHypothesis
    Indicates that an entity is proposed or assumed to serve as a function or functional explanation for another entity or phenomenon.
  • C. proposesHypothesis
    Indicates that one entity puts forward a tentative explanation or hypothesis for consideration regarding another entity or phenomenon.
  • D. causeOf
    Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
  • E. hasCause
    Indicates that one entity is the reason for, or brings about, the occurrence or existence of another entity or event.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde88344a481909ee833451fab6e58 completed April 2, 2026, 3:54 a.m.
PD Predicate disambiguation batch_69cd4ba4f5d88190ba68e63be10b08c7 completed April 1, 2026, 4:45 p.m.
Created at: March 30, 2026, 9:06 p.m.