Triple
T993196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LEED Platinum |
E21436
|
entity |
| Predicate | requiresMinimumScore |
P22279
|
FINISHED |
| Object | 80 points |
—
|
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: 80 points | Statement: [LEED Platinum, requiresMinimumScore, 80 points]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresMinimumScore Context triple: [LEED Platinum, requiresMinimumScore, 80 points]
-
A.
isScoreFor
Indicates that one value represents the score or result associated with a particular entity, event, or performance.
-
B.
requiresConfidenceOf
Indicates that one entity can only proceed, function, or be accepted if it has sufficient trust, assurance, or belief in the reliability or correctness of another entity.
-
C.
eligibilityLevel
Indicates the degree or tier of qualification an entity has for a given benefit, service, or status.
-
D.
requiredBy
Indicates that one entity depends on or cannot function properly without another entity being present, completed, or satisfied.
-
E.
requiresEducation
Indicates that performing or holding the related role, activity, or position depends on having a specified level or type of education.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c3f7b48190a31308bdc09817c6 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2adbde48190b07966d0c3179516 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b38723d8819098b861cba5cad4ee |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:41 p.m.