Triple
T289755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malthusian catastrophe |
E5962
|
entity |
| Predicate | hasAssumption |
P1458
|
FINISHED |
| Object | fixed or slowly growing agricultural output |
—
|
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: fixed or slowly growing agricultural output | Statement: [Malthusian catastrophe, hasAssumption, fixed or slowly growing agricultural output]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAssumption Context triple: [Malthusian catastrophe, hasAssumption, fixed or slowly growing agricultural output]
-
A.
assumes
chosen
Indicates that one entity takes on, accepts, or presumes a role, responsibility, state, or fact regarding another entity or situation.
-
B.
hasCondition
Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
-
C.
hasDependency
Indicates that one entity relies on or requires another entity in order to function, exist, or be fulfilled.
-
D.
hasRule
Indicates that an entity is governed, constrained, or defined by a specific rule or set of rules.
-
E.
hasSpecification
Indicates that an entity is associated with a particular specification that defines or constrains its properties, behavior, or requirements.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e4df5508190ab75115ac6b3964e |
completed | Feb. 28, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69a25b7d089081909810442c3d0182f6 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.