Triple
T2540680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Treatises of Government |
E56376
|
entity |
| Predicate | defendsConcept |
P40990
|
FINISHED |
| Object | natural law |
—
|
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: natural law | Statement: [Two Treatises of Government, defendsConcept, natural law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defendsConcept Context triple: [Two Treatises of Government, defendsConcept, natural law]
-
A.
defends
Indicates that one entity protects or supports another entity against attack, criticism, or harm.
-
B.
defendedAs
Indicates that one entity is presented, argued, or justified as being equivalent to or serving the role of another entity in a defensive or protective context.
-
C.
protectedConcept
Indicates that one entity is a concept or attribute that is legally or normatively safeguarded from discrimination, harm, or unauthorized use in relation to another entity.
-
D.
defender
Indicates a relationship where one entity protects, guards, or supports another entity against threats, attacks, or criticism.
-
E.
canBeDefendedIn
Indicates that something (such as a claim, action, or position) is capable of being justified or supported within a specified context, forum, or framework.
- 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_69ab4a49b6508190bc467fbef4bac334 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd64a2194819097c66cbeb37fe859 |
completed | March 7, 2026, 7:39 a.m. |
| PD | Predicate disambiguation | batch_69abd0c4a5dc819097812db50443420a |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd648487881908ce8ca22def77294 |
completed | March 7, 2026, 7:39 a.m. |
Created at: March 6, 2026, 9:47 p.m.