Triple
T11469091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khoi-San |
E271853
|
entity |
| Predicate | geneticSignificance |
P35225
|
FINISHED |
| Object | among the most divergent human lineages |
—
|
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: among the most divergent human lineages | Statement: [Khoi-San, geneticSignificance, among the most divergent human lineages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geneticSignificance Context triple: [Khoi-San, geneticSignificance, among the most divergent human lineages]
-
A.
geneticInfluence
Indicates that one entity affects or contributes to the genetic traits, characteristics, or heredity of another entity.
-
B.
geneticStatus
Indicates the genetic condition or variant state an entity has in relation to a specific gene or set of genes.
-
C.
geneticOrigin
Indicates that one entity is the source or contributor of another entity’s genetic material or hereditary traits.
-
D.
geneticAffinity
Indicates a relationship where entities share a notable degree of genetic similarity or relatedness.
-
E.
geneticDiversity
chosen
Indicates variation in genetic characteristics within or between populations or groups.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d82949e3688190b024a4980666c94f |
completed | April 9, 2026, 10:33 p.m. |
| PD | Predicate disambiguation | batch_69d8086ecd6c81908f424864857762d6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:35 p.m.