Triple
T7694879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorilla |
E174343
|
entity |
| Predicate | geneticSimilarityToHumans |
P8564
|
FINISHED |
| Object | over 95 percent |
—
|
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: over 95 percent | Statement: [Gorilla, geneticSimilarityToHumans, over 95 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geneticSimilarityToHumans Context triple: [Gorilla, geneticSimilarityToHumans, over 95 percent]
-
A.
percentageHumanGenesWithOrthologs
Indicates the proportion of human genes that have corresponding orthologous genes in another species or set of species.
-
B.
sharesDNAWithHumans
chosen
Indicates that one entity possesses genetic material that is evolutionarily related to, and partially identical with, that of humans.
-
C.
homologousTo
Indicates that two entities share a common evolutionary origin or structural similarity, often implying they derive from the same ancestral feature.
-
D.
geneticRelation
Indicates that two entities are connected through a hereditary or familial genetic relationship.
-
E.
hasOrthologsWith
Indicates that two genes or proteins in different species are orthologous, meaning they originated from a common ancestral gene and typically retain similar functions.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c706d1f0208190bc5b695aa5736244 |
completed | March 27, 2026, 10:38 p.m. |
| PD | Predicate disambiguation | batch_69c70163dea88190ae729df50e63dfd7 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:02 p.m.