Triple
T4564867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felidae |
E121884
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | Panthera leo |
E359372
|
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: Panthera leo | Statement: [Felidae, includes, Panthera leo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panthera leo Context triple: [Felidae, includes, Panthera leo]
-
A.
Panthera leo
chosen
Panthera leo is the large carnivorous mammal commonly known as the lion, a social big cat native primarily to Africa and parts of India.
-
B.
Panthera pardus
Panthera pardus is the leopard, a widely distributed big cat species known for its spotted coat, adaptability to diverse habitats, and status as a top predator across parts of Africa and Asia.
-
C.
Panthera
Panthera is a genus of large predatory cats that includes lions, tigers, leopards, jaguars, and snow leopards.
-
D.
Lion
Lion is a mysterious, magical pink lion who serves as a companion and guardian to Steven in the animated series "Steven Universe."
-
E.
Lion
Lion was a prominent warship of the Royal Scots Navy, recognized for its significant role in Scotland’s early modern naval history.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd589b439c81908da9d19433310bcd |
completed | March 20, 2026, 2:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc5a8ea5481908a652290e9df911f |
completed | March 20, 2026, 10:09 p.m. |
Created at: March 20, 2026, 1:09 p.m.