Triple

T16494950
Position Surface form Disambiguated ID Type / Status
Subject Turritopsis dohrnii E400657 entity
Predicate triggerForReversion P58568 FINISHED
Object physical damage 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: physical damage | Statement: [Turritopsis dohrnii, triggerForReversion, physical damage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: triggerForReversion
Context triple: [Turritopsis dohrnii, triggerForReversion, physical damage]
  • A. canRevertTo
    Indicates that one state, version, or condition has the ability to be changed back or restored to another prior state, version, or condition.
  • B. subsequentReversal
    Indicates that a previously made decision, action, or condition is later undone, overturned, or reversed in time.
  • C. trigger chosen
    Indicates that one entity causes or initiates an event, state, or action in another entity or system.
  • D. reversionYear
    Indicates the year in which something returns to a previous state, condition, or ownership.
  • E. triggerForDissolution
    Indicates that one entity serves as the cause or initiating condition that leads to the dissolution or termination of another entity or arrangement.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e3276b88190946a669b4d893a54 completed April 18, 2026, 7:09 a.m.
PD Predicate disambiguation batch_69e296902d6c8190884ddb612b8c5b36 completed April 17, 2026, 8:22 p.m.
Created at: April 10, 2026, 5:14 a.m.