Triple
T25303761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narrow Roads of Gene Land |
E634421
|
entity |
| Predicate | hasAuthorDiscipline |
P102843
|
FINISHED |
| Object | population genetics |
—
|
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: population genetics | Statement: [Narrow Roads of Gene Land, hasAuthorDiscipline, population genetics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorDiscipline Context triple: [Narrow Roads of Gene Land, hasAuthorDiscipline, population genetics]
-
A.
hasAuthorDissertation
Indicates a relationship where a dissertation is linked to the person who authored it.
-
B.
academicFieldOfAuthor
chosen
Indicates the academic discipline or field in which an author conducts their scholarly work or produces publications.
-
C.
hasSubdiscipline
Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
-
D.
hasAuthorConcept
Indicates that an entity is associated with a conceptual or abstract representation of its author, rather than a specific individual author instance.
-
E.
hasAuthorOfKeyWork
Indicates that an entity serves as the author or creator of a significant or primary work associated with another entity.
- 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_69e75a972c6481909bc11710e8d30a6c |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f606c79ad081908369605f72e65ca6 |
completed | May 2, 2026, 2:14 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 21, 2026, 1:25 p.m.