Triple
T30547519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Vegas (Randall Flagg’s stronghold) |
E777460
|
entity |
| Predicate | stateInRealWorldSetting |
P29186
|
FINISHED |
| Object | Nevada |
—
|
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: Nevada | Statement: [Las Vegas (Randall Flagg’s stronghold), stateInRealWorldSetting, Nevada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateInRealWorldSetting Context triple: [Las Vegas (Randall Flagg’s stronghold), stateInRealWorldSetting, Nevada]
-
A.
realityStatus
chosen
Indicates the relationship between an entity and its state of existence or authenticity within a given context or world (e.g., real, fictional, hypothetical, simulated).
-
B.
stateSetting
Indicates that one entity establishes, configures, or assigns the state or condition of another entity.
-
C.
stateCurrently
Indicates that something is in a particular state or condition at the present moment.
-
D.
soldInRealWorld
Indicates that the item or product is actually sold or available for purchase in the physical, real-world marketplace.
-
E.
usesState
Indicates that one entity operates with, depends on, or is configured to function using a particular state or condition of 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_69f2249e19108190a458ab446096bf22 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: April 29, 2026, 8:19 p.m.