Triple
T37167864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | supreme civil court |
E920835
|
entity |
| Predicate | opinionsServeAs |
P2235
|
FINISHED |
| Object | authoritative interpretations of civil statutes |
—
|
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: authoritative interpretations of civil statutes | Statement: [supreme civil court, opinionsServeAs, authoritative interpretations of civil statutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opinionsServeAs Context triple: [supreme civil court, opinionsServeAs, authoritative interpretations of civil statutes]
-
A.
givesOpinionOn
Indicates that one entity expresses a view, judgment, or evaluation about another entity or subject.
-
B.
opinionBy
chosen
Indicates that a particular opinion, viewpoint, or judgment is expressed or held by a specific entity.
-
C.
compiledOpinionsOf
Indicates that one entity has gathered, organized, or synthesized the opinions of another entity or group into a collective form.
-
D.
natureOfOpinions
Indicates the general character, quality, or type of opinions held or expressed in a given context.
-
E.
hasDifferentOpinionsOn
Indicates that two or more entities hold differing views or judgments regarding a particular topic, issue, or subject.
- 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_69f76ea16f288190b445aa1604d996f4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.