Triple
T21763347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max-E3-LIN-2 |
E537215
|
entity |
| Predicate | isUniformVariant |
P145853
|
FINISHED |
| Object | each constraint has exactly 3 variables |
—
|
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: each constraint has exactly 3 variables | Statement: [Max-E3-LIN-2, isUniformVariant, each constraint has exactly 3 variables]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isUniformVariant Context triple: [Max-E3-LIN-2, isUniformVariant, each constraint has exactly 3 variables]
-
A.
usesUniform
Indicates that one entity regularly wears or employs a standardized set of clothing or equipment designated as a uniform.
-
B.
includesUniformType
Indicates that one entity contains or encompasses a specific type of uniform within its scope or composition.
-
C.
requiresUniformity
Indicates that one entity imposes a condition that another entity (or set of entities) must be consistent or identical in a specified aspect.
-
D.
hasVariant
Indicates that one entity exists as an alternative form, version, or variation of another entity.
-
E.
isNonUniform
Indicates that the property, distribution, or structure of something varies across its domain rather than remaining constant or uniform.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031a711dc8190a786c9849dc344e8 |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6d054737081908aa7112975b77475 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 6:51 p.m.