Triple
T4647393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mnemosyne |
E102204
|
entity |
| Predicate | hasRomanEquivalent |
P36249
|
FINISHED |
| Object | Moneta |
E420063
|
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: Moneta | Statement: [Mnemosyne, hasRomanEquivalent, Moneta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moneta Context triple: [Mnemosyne, hasRomanEquivalent, Moneta]
-
A.
Juno Moneta
chosen
Juno Moneta is an aspect of the Roman goddess Juno associated with warning, protection, and the origin of the word “money,” as her temple in Rome housed the city’s mint.
-
B.
Dirachma
Dirachma is a small, rare genus of flowering plants known for its highly restricted distribution and placement in its own family, Dirachmaceae.
-
C.
Orlandi Valuta
Orlandi Valuta is a money transfer and financial services brand owned by Western Union, primarily serving customers in the United States and Latin America.
-
D.
Gulden
The Gulden was a historical European gold-based coin and monetary unit used in various German states, including Hesse-Kassel, before the adoption of more modern currencies.
-
E.
Tolar Grande
Tolar Grande is a small remote village in Argentina’s Salta Province, known as a gateway to high-altitude Andean deserts and salt flats.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd62fcb8508190a17c4437b3d226b2 |
completed | March 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfadfe8b4819088a5fb1565bbe94a |
completed | March 21, 2026, 1:56 a.m. |
Created at: March 20, 2026, 1:14 p.m.