Triple
T8466910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elaphodus |
E200185
|
entity |
| Predicate | subfamily |
P4180
|
FINISHED |
| Object | Capreolinae |
E722062
|
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: Capreolinae | Statement: [Elaphodus, subfamily, Capreolinae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capreolinae Context triple: [Elaphodus, subfamily, Capreolinae]
-
A.
Capreolinae
chosen
Capreolinae is a subfamily of deer, often called the New World deer, that includes species such as white-tailed deer, moose, reindeer, and related relatives.
-
B.
Antilopinae
Antilopinae is a subfamily of bovids that includes many of the world’s small to medium-sized, fast-running antelopes adapted to open and arid habitats.
-
C.
Caprinae
Caprinae is a subfamily of hoofed mammals that includes goats, sheep, and related species adapted to rugged, often mountainous environments.
-
D.
Alcelaphinae
Alcelaphinae is a subfamily of African antelopes that includes species such as hartebeests, wildebeests, and topis, known for their grazing habits and adaptation to open grassland habitats.
-
E.
Tragulidae
Tragulidae is a family of small, primitive, deer-like mammals known as chevrotains or mouse deer, found in parts of Africa and Asia.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4d2eb648190b606411eb6a8f7ea |
completed | March 31, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39ead11c8190bf1524713a44a6fe |
completed | April 2, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:11 p.m.