Triple
T18206692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World State caste system |
E435919
|
entity |
| Predicate | hasCaste |
P16727
|
FINISHED |
| Object | Gamma |
—
|
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: Gamma | Statement: [World State caste system, hasCaste, Gamma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gamma Context triple: [World State caste system, hasCaste, Gamma]
-
A.
Gamma
chosen
Gamma is a mid-level caste in Aldous Huxley’s dystopian novel "Brave New World," characterized by its members’ engineered intelligence and conditioning for routine, subordinate roles in society.
-
B.
GP
A Gaussian process (GP) is a probabilistic model that defines a distribution over functions, widely used in machine learning and statistics for regression, classification, and Bayesian optimization.
-
C.
GP
GP is the vehicle registration code used on license plates for the German town and district of Göppingen in the state of Baden-Württemberg.
-
D.
GP
GP is the two-letter ISO 3166-1 alpha-2 country code assigned to Guadeloupe.
-
E.
GP
GP is the commonly used abbreviation for GlobalPlatform, an international standards organization that defines specifications for secure digital services and devices such as smart cards and trusted execution environments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e2243de081908a5bcc7e2072eae7 |
completed | April 19, 2026, 2:09 p.m. |
Created at: April 10, 2026, 10:32 a.m.