Triple
T25375892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judgment T-622 of 2016 |
E633054
|
entity |
| Predicate | recognizedAsLegalSubject |
P1629
|
FINISHED |
| Object | Atrato River |
—
|
NE NERFINISHED |
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: Atrato River | Statement: [Judgment T-622 of 2016, recognizedAsLegalSubject, Atrato River]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recognizedAsLegalSubject Context triple: [Judgment T-622 of 2016, recognizedAsLegalSubject, Atrato River]
-
A.
hasLegalSubject
Indicates that an entity serves as the legal subject (e.g., rights-holder or obligated party) in a legal relationship or context.
-
B.
legalSubject
chosen
Indicates that an entity is the bearer of legal rights, duties, or responsibilities within a legal relationship or context.
-
C.
recognizedByUSAsLegitimate
Indicates that an entity is officially acknowledged and accepted as legitimate by the United States.
-
D.
legalRecognition
Indicates that an authority formally acknowledges the validity, status, or rights associated with an entity, relationship, or action under the law.
-
E.
usesLegalEntity
Indicates that one entity makes use of, operates through, or conducts activities via a particular legal entity (such as a company, organization, or other legally recognized body).
- 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_69e75a90c0dc819092f928b6ea0ecc72 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f60c3b09488190ade1b69ff7f0df0e |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f60b8461ac81908c5bd3d73eed59f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 21, 2026, 1:38 p.m.