Triple
T30158151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNCITRAL Conciliation Rules |
E766577
|
entity |
| Predicate | neutrality |
P161206
|
FINISHED |
| Object | designed to be acceptable in different legal systems |
—
|
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: designed to be acceptable in different legal systems | Statement: [UNCITRAL Conciliation Rules, neutrality, designed to be acceptable in different legal systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neutrality Context triple: [UNCITRAL Conciliation Rules, neutrality, designed to be acceptable in different legal systems]
-
A.
neutralized
Indicates that one entity has rendered another entity ineffective, harmless, or no longer able to exert its intended effect.
-
B.
isNeutral
chosen
Indicates that an entity maintains a balanced, unbiased, or non-aligned stance with respect to other entities, options, or conflicting sides.
-
C.
isNeutralAbout
Indicates that one entity has no strong positive or negative opinion, preference, or stance toward another entity or subject.
-
D.
usesNeutral
Indicates that one entity employs or applies something in a neutral, unbiased, or non-aligned manner toward another entity or context.
-
E.
neutralValue
Indicates that the relationship or action has no positive or negative bias, effect, or preference toward any of the involved entities.
- 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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ed8f9e0819090a895b3942a6f0f |
completed | May 2, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:21 p.m.