Triple
T14318216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cervus canadensis |
E355012
|
entity |
| Predicate | antlersShed |
P3835
|
FINISHED |
| Object | annually |
—
|
LITERAL 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: annually | Statement: [Cervus canadensis, antlersShed, annually]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: antlersShed Context triple: [Cervus canadensis, antlersShed, annually]
-
A.
antlerType
Indicates the specific kind or classification of antlers that an entity possesses or is associated with.
-
B.
antlersPresentIn
Indicates that antlers are physically present within or on the specified location or entity.
-
C.
sheds
Indicates that one entity naturally loses, discards, or lets fall something from itself, such as hair, skin, leaves, or other material.
-
D.
antlerCycle
chosen
Indicates the recurring process or pattern by which an animal’s antlers grow, shed, and regrow over time.
-
E.
domesticationCenter
Indicates the place or region where a species was first brought under human control and selectively bred, marking the origin of its domestication.
- F. None of above.
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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883a93548190ac671b001d15d0bd |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:13 a.m.