Triple
T5999303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resistance to Civil Government |
E133553
|
entity |
| Predicate | hasMethodOfResistance |
P66969
|
FINISHED |
| Object | tax resistance |
—
|
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: tax resistance | Statement: [Resistance to Civil Government, hasMethodOfResistance, tax resistance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMethodOfResistance Context triple: [Resistance to Civil Government, hasMethodOfResistance, tax resistance]
-
A.
methodOfResistance
chosen
Indicates a way or technique by which resistance is carried out or expressed.
-
B.
typeOfResistance
Indicates the kind or category of resistance that characterizes how an entity opposes, impedes, or withstands another entity or influence.
-
C.
pestResistance
Indicates that an entity has the ability to withstand, deter, or remain unaffected by damage or harm caused by pests.
-
D.
sporeResistance
Indicates the degree to which an entity can withstand or remain unaffected by spores or spore-related effects.
-
E.
hasWeakness
Indicates that one entity is vulnerable to, or can be adversely affected or defeated by, another entity.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee49b708190a92c3fd1336e8ab0 |
completed | March 22, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c049e152e88190979ab80cb9b50321 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:05 p.m.