Triple
T9768725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceres |
E237063
|
entity |
| Predicate | namesakeOf |
P63
|
FINISHED |
| Object | dwarf planet Ceres |
E21423
|
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: dwarf planet Ceres | Statement: [Ceres, namesakeOf, dwarf planet Ceres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: dwarf planet Ceres Context triple: [Ceres, namesakeOf, dwarf planet Ceres]
-
A.
Ceres
chosen
Ceres is the largest object in the asteroid belt between Mars and Jupiter and a dwarf planet composed primarily of rock and ice.
-
B.
Ceres
Ceres is a small city in Stanislaus County, California, known primarily as a residential and agricultural community in the Central Valley.
-
C.
Ceres
Ceres is the Roman goddess of agriculture, grain crops, fertility, and motherly relationships.
-
D.
Pluto
Pluto is a distant, icy dwarf planet in the Kuiper Belt known for its eccentric orbit and former status as the ninth planet of the Solar System.
-
E.
Pluto
Pluto is Mickey Mouse’s loyal pet dog, a classic Disney cartoon character known for his playful, expressive, and mostly non-speaking role in animated films and shorts.
- 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0f0c64c81908f3435dd49c0218b |
completed | April 1, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd05f2588190ab413d26342aa70f |
completed | April 5, 2026, 1:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.