Triple
T26818320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | multiregional evolution debate |
E675176
|
entity |
| Predicate | involvesTheory |
P137882
|
FINISHED |
| Object | multiregional evolution model |
—
|
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: multiregional evolution model | Statement: [multiregional evolution debate, involvesTheory, multiregional evolution model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesTheory Context triple: [multiregional evolution debate, involvesTheory, multiregional evolution model]
-
A.
coversTheory
Indicates that one entity includes, addresses, or explains the theoretical concepts associated with another entity.
-
B.
occursInTheory
Indicates that an event, concept, or phenomenon is situated, described, or analyzed within a particular theoretical framework or theory.
-
C.
appliesTheory
Indicates that an entity uses or implements a particular theory in analyzing, explaining, or addressing something.
-
D.
reflectsTheoryOf
chosen
Indicates that one entity embodies, expresses, or is based on the theoretical framework, principles, or assumptions developed by another entity.
-
E.
presentsTheory
Indicates that one entity formally puts forward or explains a theory to another entity or audience.
- 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_69eee9b6b28481909332f83eb17e5170 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc53f4f881908dcc698687bbb64d |
completed | May 3, 2026, 7:42 a.m. |
Created at: April 27, 2026, 4:53 a.m.