Triple
T27173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guam |
E544
|
entity |
| Predicate | usesLegalSystem |
P605
|
FINISHED |
| Object | U.S.-based common 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: U.S.-based common law | Statement: [Guam, usesLegalSystem, U.S.-based common law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesLegalSystem Context triple: [Guam, usesLegalSystem, U.S.-based common law]
-
A.
legalSystem
chosen
Indicates the formal framework of laws, rules, and institutions that governs how legal matters are defined, interpreted, and enforced within a society or jurisdiction.
-
B.
hasJurisdictionOver
Indicates that one authority or governing body holds legal power or control to make and enforce decisions over another entity, area, or matter.
-
C.
legalBasis
Indicates the legal rule, authority, or justification under which an action, decision, or status is established or carried out.
-
D.
legalRecognition
Indicates that an authority formally acknowledges the validity, status, or rights associated with an entity, relationship, or action under the law.
-
E.
legalForm
Indicates the specific legal structure or organizational type under which an entity is formally constituted and recognized by law.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a247798a348190bb943d38300ae3ef |
completed | Feb. 28, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69a24658749881909117b007ec3d8633 |
completed | Feb. 28, 2026, 1:35 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.