Triple
T13148481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinosaur Land |
E312400
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Donut Plains |
E312402
|
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: Donut Plains | Statement: [Dinosaur Land, hasPart, Donut Plains]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donut Plains Context triple: [Dinosaur Land, hasPart, Donut Plains]
-
A.
Donut Plains
chosen
Donut Plains is a grassy, lake-filled region and the second major world in Super Mario World, known for introducing secret exits and the Cape Feather power-up.
-
B.
Mercury Plains
Mercury Plains is a 2016 action drama film starring Scott Eastwood as a troubled young man who becomes entangled with a paramilitary group in Mexico.
-
C.
Westwood Plateau
Westwood Plateau is an upscale residential neighbourhood in Coquitlam, British Columbia, known for its hillside setting, golf course, and views over the Lower Mainland.
-
D.
Acorn Plains
Acorn Plains is the grassy, introductory overworld-themed first world in the platform game New Super Mario Bros. U.
-
E.
Howling Plateau
Howling Plateau is a harsh, windswept desert highland region within the land of Kehjistan in the Diablo game universe.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd0f5b08190ab700c5de1c8e138 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eae834908190aecb825db1d705ff |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:11 p.m.