Triple
T29473934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alpha 60 |
E747589
|
entity |
| Predicate | settingOfControl |
P178051
|
FINISHED |
| Object | dystopian city |
—
|
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: dystopian city | Statement: [Alpha 60, settingOfControl, dystopian city]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfControl Context triple: [Alpha 60, settingOfControl, dystopian city]
-
A.
settingControlled
Indicates that one entity regulates, adjusts, or determines the configuration or parameters of another entity.
-
B.
settingOfRule
Indicates the contextual environment, domain, or circumstances within which a particular rule is defined and intended to apply.
-
C.
controlsType
Indicates that one entity has authority over, or the ability to direct or regulate, the type or category of another entity.
-
D.
setting
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
E.
controlParameter
Indicates that one entity functions as a parameter that governs, tunes, or constrains the behavior or operation of another entity.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
| PDg | Predicate description generation | batch_69f707f380388190954b79d52a321921 |
completed | May 3, 2026, 8:31 a.m. |
Created at: April 28, 2026, 3:59 p.m.