Triple
T18206671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda |
E435918
|
entity |
| Predicate | settingOfKeyEvents |
P34183
|
FINISHED |
| Object | London World State |
—
|
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: London World State | Statement: [Linda, settingOfKeyEvents, London World State]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: London World State Context triple: [Linda, settingOfKeyEvents, London World State]
-
A.
London (parallel Earth)
London (parallel Earth) is a fictional alternate-reality version of the real-world city of London, typically depicted with divergent history, culture, or technology from our own Earth.
-
B.
Londiani
Londiani is a town in Kenya’s Rift Valley region, known as a local commercial and transport hub within Kericho County.
-
C.
London, Airstrip One
chosen
London, Airstrip One is the dystopian, heavily surveilled capital city of the superstate Oceania in George Orwell’s novel "Nineteen Eighty-Four."
-
D.
Metropolis (London)
Metropolis (London) is the historic core area of Greater London that served as the primary urban and administrative center of the city during the 19th century.
-
E.
White City, London
White City, London is a district in West London known for its major redevelopment around the former BBC Television Centre and Westfield London shopping complex.
- 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.