Triple

T16495028
Position Surface form Disambiguated ID Type / Status
Subject Aequorea victoria E400658 entity
Predicate GFPApplications P123763 FINISHED
Object reporter gene 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: reporter gene | Statement: [Aequorea victoria, GFPApplications, reporter gene]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: GFPApplications
Context triple: [Aequorea victoria, GFPApplications, reporter gene]
  • A. greenFluorescentProteinSource
    Indicates that one entity serves as the biological or experimental source from which green fluorescent protein (GFP) is obtained or derived for the other entity.
  • B. greenUsedFor
    Indicates that something green serves a particular purpose or function for something else.
  • C. usesBioluminescenceFor
    Indicates that an entity employs bioluminescence specifically for a particular function, purpose, or context.
  • D. glowsInPresenceOf
    Indicates that one entity emits or intensifies light when another specified entity or condition is present.
  • E. bioluminescenceSource
    Indicates that one entity is the origin or producer of the bioluminescent light exhibited by another entity.
  • 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_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.
PDg Predicate description generation batch_69e2d7f97e548190a474691a152bd8e8 completed April 18, 2026, 1:01 a.m.
Created at: April 10, 2026, 5:14 a.m.