Triple
T30082928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malthusianism |
E764521
|
entity |
| Predicate | includesPreventiveCheck |
P202084
|
FINISHED |
| Object | moral restraint |
—
|
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: moral restraint | Statement: [Malthusianism, includesPreventiveCheck, moral restraint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesPreventiveCheck Context triple: [Malthusianism, includesPreventiveCheck, moral restraint]
-
A.
preventionStatus
Indicates whether an action, measure, or condition is currently serving to prevent a specified event, outcome, or state from occurring.
-
B.
includesPositiveCheck
Indicates that the related process, evaluation, or record contains at least one positive result, finding, or confirmation.
-
C.
hasPrecautionaryFacility
Indicates that an entity is equipped with or associated with a facility intended to provide precautionary or protective measures against potential risks or hazards.
-
D.
inspectionRequired
Indicates that an entity must undergo an inspection before it can proceed, be used, or be approved.
-
E.
hasCheckInProcedure
Indicates that there is a defined process or set of steps required for an entity to check in or be checked in.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a004d0b46148190bcec4ea67acfe170 |
completed | May 10, 2026, 9:16 a.m. |
| PD | Predicate disambiguation | batch_6a004c92283081909f229c1720af155a |
completed | May 10, 2026, 9:14 a.m. |
| PDg | Predicate description generation | batch_6a004d0a95548190ac822cd1d54edf42 |
completed | May 10, 2026, 9:16 a.m. |
Created at: April 29, 2026, 7:03 p.m.