Triple
T173504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patriot (American Revolution) |
E3526
|
entity |
| Predicate | legalStatusUnderBritishLaw |
P2250
|
FINISHED |
| Object | traitors |
—
|
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: traitors | Statement: [Patriot (American Revolution), legalStatusUnderBritishLaw, traitors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusUnderBritishLaw Context triple: [Patriot (American Revolution), legalStatusUnderBritishLaw, traitors]
-
A.
separateLegalSystem
Indicates that one entity maintains its own distinct and independent legal system from another entity.
-
B.
hasLegalStatus
chosen
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
C.
legalBasis
Indicates the legal rule, authority, or justification under which an action, decision, or status is established or carried out.
-
D.
legalSystem
Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
-
E.
legalSubject
Indicates that an entity is the bearer of legal rights, duties, or responsibilities within a legal relationship or context.
- 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_69a25374990081909766d30c79a18e0e |
completed | Feb. 28, 2026, 2:31 a.m. |
| NER | Named-entity recognition | batch_69a258e1ec008190a89dd452f72574f4 |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a256689f908190afeb5ee82022a911 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:39 a.m.