Triple
T3938937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liber |
E90984
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Ceres |
E237063
|
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: Ceres | Statement: [Liber, associatedWith, Ceres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ceres Context triple: [Liber, associatedWith, Ceres]
-
A.
Ceres
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
chosen
Ceres is the Roman goddess of agriculture, grain crops, fertility, and motherly relationships.
-
D.
Vesta
Vesta is the Roman goddess of the hearth, home, and sacred fire, central to domestic and state religion in ancient Rome.
-
E.
Pallas
Pallas is an 18th-century German zoologist and naturalist known for his pioneering work in classifying and describing numerous animal species.
- 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_69aed95f26e0819094b0e71974543a19 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeedfb12b88190a6ca6574b1aadb6e |
completed | March 9, 2026, 3:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5338d9a7c8190ac5960eab5ae2ada |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:24 p.m.