Triple
T17102744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New England temperate forest |
E415018
|
entity |
| Predicate | hasFauna |
P950
|
FINISHED |
| Object | snowshoe hare |
E822137
|
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: snowshoe hare | Statement: [New England temperate forest, hasFauna, snowshoe hare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: snowshoe hare Context triple: [New England temperate forest, hasFauna, snowshoe hare]
-
A.
snowshoe hare
chosen
The snowshoe hare is a North American hare species known for its large hind feet and seasonal fur color change from brown to white, which helps it move on snow and avoid predators.
-
B.
Aspen Hare
Aspen Hare is one of the official mascots of the 2002 Winter Olympics in Salt Lake City, representing speed and agility.
-
C.
Cottontail
Cottontail is one of Peter Rabbit’s younger sisters in Beatrix Potter’s classic children’s stories, known for her timid and well-behaved nature.
-
D.
Keinohrhasen
Keinohrhasen is a popular German romantic comedy film that significantly boosted Til Schweiger’s fame as both an actor and director.
-
E.
Aplodontia rufa
Aplodontia rufa, commonly known as the mountain beaver, is a primitive, burrowing rodent native to the Pacific Northwest of North America.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2495c88190b5b16a006a994faf |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0139ffbe808190a24e827331ee4a6c |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:35 a.m.