Triple
T123704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | behavioral ecology |
E2499
|
entity |
| Predicate | aimsToExplain |
P5130
|
FINISHED |
| Object | how behavior maximizes fitness under ecological constraints |
—
|
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: how behavior maximizes fitness under ecological constraints | Statement: [behavioral ecology, aimsToExplain, how behavior maximizes fitness under ecological constraints]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimsToExplain Context triple: [behavioral ecology, aimsToExplain, how behavior maximizes fitness under ecological constraints]
-
A.
usedToExplain
Indicates that one entity serves as an explanation or clarification for another entity.
-
B.
doesNotFullyExplain
Indicates that one entity’s explanation of another entity, event, or situation is incomplete or insufficient to account for it fully.
-
C.
explores
Indicates actively investigating, traveling through, or examining something in order to discover or learn more about it.
-
D.
causeOf
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
E.
analyzes
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a2573ce0ac8190b49fb31d3d475bf9 |
completed | Feb. 28, 2026, 2:47 a.m. |
| PD | Predicate disambiguation | batch_69a2564928208190966a619680a0d6e2 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a256c72f6c81909b619b90d829d86e |
completed | Feb. 28, 2026, 2:45 a.m. |
Created at: Feb. 28, 2026, 2:27 a.m.