Triple
T71014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mule deer |
E1420
|
entity |
| Predicate | offspringPerBirth |
P1337
|
FINISHED |
| Object | usually 1 to 2 fawns |
—
|
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: usually 1 to 2 fawns | Statement: [mule deer, offspringPerBirth, usually 1 to 2 fawns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offspringPerBirth Context triple: [mule deer, offspringPerBirth, usually 1 to 2 fawns]
-
A.
clutchSize
chosen
Indicates the number of offspring (e.g., eggs or young) produced by an organism in a single reproductive event.
-
B.
numberOfChildren
Indicates the total count of children that an entity has.
-
C.
reproductiveStructure
Indicates that one entity serves as a reproductive organ or structure of another, involved in producing or facilitating the formation of offspring or reproductive cells.
-
D.
grandchildren
Indicates a familial relationship where one entity is the child of another entity’s child.
-
E.
siblingCount
Indicates the number of siblings an entity has.
- 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_69a24c06b3bc8190aa4ac89026115efc |
completed | Feb. 28, 2026, 1:59 a.m. |
| NER | Named-entity recognition | batch_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24eaa0df88190add55579b2b9fd02 |
completed | Feb. 28, 2026, 2:10 a.m. |
Created at: Feb. 28, 2026, 2:03 a.m.