Triple
T18506551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Net Promoter Score |
E452210
|
entity |
| Predicate | transactionalNPSMeasures |
P131927
|
FINISHED |
| Object | experience with a specific interaction or transaction |
—
|
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: experience with a specific interaction or transaction | Statement: [Net Promoter Score, transactionalNPSMeasures, experience with a specific interaction or transaction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transactionalNPSMeasures Context triple: [Net Promoter Score, transactionalNPSMeasures, experience with a specific interaction or transaction]
-
A.
crowdReputation
Indicates the collective opinion or perceived standing of an entity as judged by a group or general audience.
-
B.
tribeReputation
Indicates the perceived status, honor, or esteem associated with a tribe within a given social or cultural context.
-
C.
numberOfSurveyPoints
Indicates the total count of survey points associated with a given entity or context.
-
D.
surveyName
Indicates the specific name or title assigned to a survey in the context of the relationship.
-
E.
surveyBand
Indicates that an entity conducts or is associated with a survey using a specific observational band or frequency range.
- 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_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. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:36 a.m.