Triple
T7517888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney Sequoia Lodge |
E177690
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | Lake Disney |
E670604
|
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: Lake Disney | Statement: [Disney Sequoia Lodge, hasView, Lake Disney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Disney Context triple: [Disney Sequoia Lodge, hasView, Lake Disney]
-
A.
Lake Disney
chosen
Lake Disney is an artificial lake at Disneyland Paris, surrounded by several Disney hotels and entertainment venues and used as a scenic focal point for the resort area.
-
B.
Lake Flower
Lake Flower is a small scenic lake in the village of Saranac Lake in New York’s Adirondack Mountains, known for recreation and waterfront views.
-
C.
Lake Amadeus
Lake Amadeus is a large, remote salt lake in Australia’s Northern Territory, notable for its extensive salt flats and proximity to Uluru.
-
D.
San Andreas Lake
San Andreas Lake is a long, narrow reservoir on the San Francisco Peninsula in California, best known for lending its name to the nearby San Andreas Fault.
-
E.
Lake Carnegie
Lake Carnegie is a man-made lake in Princeton, New Jersey, best known as a rowing and recreational waterway associated with Princeton University.
- 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_69c69f2891148190a484f3b8222c6f1b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5f6ccc8819080ffd123fdd59a50 |
completed | March 27, 2026, 9:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84ef834608190bf425f99222a4bc5 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:46 p.m.