Triple
T5423938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paradise Lost |
E121316
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | the Garden of Eden |
E54733
|
NE 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: the Garden of Eden | Statement: [Paradise Lost, setting, the Garden of Eden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Garden of Eden Context triple: [Paradise Lost, setting, the Garden of Eden]
-
A.
Garden of Eden
chosen
The Garden of Eden is the biblical paradise where the first humans, Adam and Eve, lived in innocence before their expulsion.
-
B.
land of Nod
The land of Nod is a mysterious region mentioned in the Bible as the place of Cain’s exile after he killed his brother Abel.
-
C.
Eden
Eden is a surname most prominently associated with Anthony Eden, the British Conservative politician who served as Prime Minister of the United Kingdom in the 1950s.
-
D.
Eden
Eden is a small unincorporated community located in El Paso County, Colorado, United States.
-
E.
Eden
Eden is a coastal town on the South Coast of New South Wales, Australia, known for its deep natural harbour and historic whaling industry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8812f84c819094d8516f69fff83d |
completed | March 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3abbd1e481909ffb443812a9485a |
completed | March 22, 2026, 12:41 a.m. |
Created at: March 20, 2026, 2:06 p.m.