Triple
T9170136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCPR |
E220060
|
entity |
| Predicate | hasNumberOfIndependentExperts |
P86609
|
FINISHED |
| Object | 18 |
—
|
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: 18 | Statement: [CCPR, hasNumberOfIndependentExperts, 18]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfIndependentExperts Context triple: [CCPR, hasNumberOfIndependentExperts, 18]
-
A.
hasIndependentMembers
Indicates that an entity includes members who act or operate autonomously, without being controlled or directed by the entity or by each other.
-
B.
isIndependent
Indicates that an entity exists, functions, or operates without being controlled, influenced, or determined by another entity.
-
C.
requiresJudgeIndependence
Indicates that the situation or process depends on a judge being able to act independently, free from external influence or pressure.
-
D.
hasNumberOfJurors
Indicates the relationship specifying how many jurors are associated with a given legal case, trial, or proceeding.
-
E.
hasNumberOfSpecialMasters
Indicates the quantity of special master roles or positions associated with a given entity.
- F. None of above. chosen
Provenance (4 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_69ca83e467108190abcae6a33b3d4dad |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccaae23f048190847f12317be925b1 |
completed | April 1, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69cc660761d88190ab6134b43b376964 |
completed | April 1, 2026, 12:25 a.m. |
| PDg | Predicate description generation | batch_69cc66d7bf648190b8bff5b584b84975 |
completed | April 1, 2026, 12:29 a.m. |
Created at: March 30, 2026, 7:22 p.m.