Triple
T12747019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eden, Colorado |
E304630
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Eden |
E304630
|
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: Eden | Statement: [Eden, Colorado, hasName, Eden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eden Context triple: [Eden, Colorado, hasName, Eden]
-
A.
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.
-
B.
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.
-
C.
Eden
chosen
Eden is a small unincorporated community located in El Paso County, Colorado, United States.
-
D.
Eden
Eden is an influential immersive installation by Brazilian artist Hélio Oiticica that invites viewers to physically engage with a sensorial, environment-like artwork.
-
E.
Eden
Eden is a local government district in Cumbria, England, known for its rural landscapes and parts of the Lake District and Pennines.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd58d30819082af4edb4cd0b4ab |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c94265481908ace9cac757df890 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:27 p.m.