Triple

T536890
Position Surface form Disambiguated ID Type / Status
Subject Challenger Deep E12344 entity
Predicate hasBiologicalFinding P13551 FINISHED
Object presence of amphipods 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: presence of amphipods | Statement: [Challenger Deep, hasBiologicalFinding, presence of amphipods]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBiologicalFinding
Context triple: [Challenger Deep, hasBiologicalFinding, presence of amphipods]
  • A. diagnosedWith
    Indicates that a subject has been identified, typically by a medical professional, as having a particular disease or medical condition.
  • B. hasTissue
    Indicates that one entity possesses, contains, or is associated with a specific tissue of another entity.
  • C. containsFossilsOf
    Indicates that one entity (typically a geological formation, rock, or sample) includes fossil remains or traces belonging to another entity (an organism or taxon).
  • D. hasAnimal chosen
    Indicates that one entity possesses, keeps, or is associated with an animal.
  • E. mayBeComorbidWith
    Indicates that two conditions or disorders can occur together in the same individual, potentially influencing each other’s presence or severity.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4985e51908190a34aa82ea9dbee1e completed March 1, 2026, 7:49 p.m.
PD Predicate disambiguation batch_69a494b51ff08190a39f4168fd9a7ddf completed March 1, 2026, 7:34 p.m.
Created at: March 1, 2026, 7:32 p.m.