Triple
T4845177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LEED professional credentials |
E108270
|
entity |
| Predicate | maintenanceCycle |
P59741
|
FINISHED |
| Object | typically every two years |
—
|
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: typically every two years | Statement: [LEED professional credentials, maintenanceCycle, typically every two years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maintenanceCycle Context triple: [LEED professional credentials, maintenanceCycle, typically every two years]
-
A.
maintenancePractice
Indicates the specific actions or methods used to preserve, repair, or optimize the condition or performance of something over time.
-
B.
maintenanceConcept
Indicates a conceptual or abstract relationship related to maintenance activities, strategies, or principles rather than a specific maintenance event.
-
C.
maintenance
Indicates that an entity performs, requires, or is involved in upkeep, repair, or preservation activities for another entity or system.
-
D.
evaluationCycle
Indicates the recurring period or sequence in which evaluations or assessments are conducted and reviewed.
-
E.
operatingCycle
Indicates the duration or process through which an entity completes a full sequence of its operations from start to finish.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e01872c81909607010c10538ad1 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2375a4819098e16acb982c8fab |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dfff1488190a32bbb615bfab970 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:25 p.m.