Triple
T18506521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Net Promoter Score |
E452210
|
entity |
| Predicate | promoterScoreRange |
P13474
|
FINISHED |
| Object | 9–10 |
—
|
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: 9–10 | Statement: [Net Promoter Score, promoterScoreRange, 9–10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: promoterScoreRange Context triple: [Net Promoter Score, promoterScoreRange, 9–10]
-
A.
enrichmentLevelRange
Indicates the range of values within which the level or degree of enrichment is considered or specified.
-
B.
regulationScore
Indicates the degree or quality of how well something is controlled, managed, or kept within desired limits.
-
C.
genomeSizeRange
Indicates the range of genome sizes associated with or observed for an entity.
-
D.
typicalRange
chosen
Indicates the usual or expected range of values, conditions, or states within which something normally occurs or applies.
-
E.
cutScoresSetBy
Indicates that one party determines or establishes the cutoff scores used to evaluate or classify another entity.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5334266708190b59aca3a2218c095 |
completed | April 19, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 11:36 a.m.