Triple
T21330267
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nande people |
E525877
|
entity |
| Predicate | economicReputation |
P83581
|
FINISHED |
| Object | entrepreneurial traders |
—
|
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: entrepreneurial traders | Statement: [Nande people, economicReputation, entrepreneurial traders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicReputation Context triple: [Nande people, economicReputation, entrepreneurial traders]
-
A.
commercialReputation
chosen
Indicates the perceived standing or esteem of an entity in a commercial or business context, based on others’ experiences, opinions, or evaluations.
-
B.
managerReputation
Indicates the perceived quality, trustworthiness, and effectiveness of a manager as judged by others.
-
C.
performanceReputation
Indicates the perceived quality or reliability of an entity’s past or expected performance as judged by others.
-
D.
institutionalReputationContext
Indicates the situational or environmental factors that shape or influence an institution’s reputation.
-
E.
scoringReputation
Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
- 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab5177dc8190b888351e9a45b45f |
completed | April 21, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69e6161feea4819091d13bb003363279 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:42 p.m.