Triple
T36828418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra |
E910070
|
entity |
| Predicate | energyEfficiencyList |
P186718
|
FINISHED |
| Object | Green500 |
—
|
NE NERFINISHED |
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: Green500 | Statement: [Sierra, energyEfficiencyList, Green500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyEfficiencyList Context triple: [Sierra, energyEfficiencyList, Green500]
-
A.
energyEfficiencyRank
Indicates the relative level of energy efficiency assigned to an entity compared to others, typically based on standardized criteria or ratings.
-
B.
energyEfficiencyFeature
Indicates that an entity has a design, technology, or characteristic specifically intended to reduce energy consumption or improve energy performance.
-
C.
energyEfficiencyClass
Indicates the energy efficiency rating category assigned to an item, typically reflecting how efficiently it uses or conserves energy relative to defined standards.
-
D.
energyUtilization
Indicates how effectively an entity uses available energy to perform work or sustain its functions.
-
E.
claimedEfficiency
Indicates that an entity asserts or reports a certain level of efficiency, regardless of whether that efficiency is verified or actual.
- 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_69f76e7e9d60819092442fba73290a46 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
| PDg | Predicate description generation | batch_69fa0a799b9081909bfa8293a22c4b00 |
completed | May 5, 2026, 3:19 p.m. |
Created at: May 3, 2026, 4:13 p.m.