Triple
T118477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian lira |
E2393
|
entity |
| Predicate | lastSeriesBanknotesFeatured |
P7633
|
FINISHED |
| Object | Maria Montessori (1000 lire) |
—
|
LITERAL 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: Maria Montessori (1000 lire) | Statement: [Italian lira, lastSeriesBanknotesFeatured, Maria Montessori (1000 lire)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastSeriesBanknotesFeatured Context triple: [Italian lira, lastSeriesBanknotesFeatured, Maria Montessori (1000 lire)]
-
A.
banknoteDenomination
Indicates the specific face value assigned to a banknote in a given currency.
-
B.
languageOnBanknotes
Indicates the language that is printed or used on a country's banknotes.
-
C.
centralBank
Indicates that an entity functions as the primary monetary authority responsible for issuing currency and implementing monetary policy for a specific jurisdiction.
-
D.
isLegalTenderFor
Indicates that a particular currency or form of money is officially recognized by a governing authority as valid payment for debts and financial transactions within a specified jurisdiction.
-
E.
notableEdition
Indicates that a particular edition or version of a work is especially significant or noteworthy in relation to that work.
- F. None of above. chosen
Provenance (4 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a25646d5088190a057989c32da3a90 |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a258de46888190835db2b21a093eaa |
completed | Feb. 28, 2026, 2:54 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.