Triple
T20007749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fábrica Nacional de Moneda y Timbre |
E494502
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | FNMT |
—
|
NE NERFINISHED |
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: FNMT | Statement: [Fábrica Nacional de Moneda y Timbre, shortName, FNMT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FNMT Context triple: [Fábrica Nacional de Moneda y Timbre, shortName, FNMT]
-
A.
FNMT
chosen
FNMT is the Spanish Royal Mint, the state-owned institution responsible for producing Spain’s coins, banknotes, and other official security documents.
-
B.
FMN
FMN is the station code for Mechelen-Nekkerspoel railway station in Belgium.
-
C.
NMTI
NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
-
D.
NMTI
NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
-
E.
FNT
FNT is the IATA airport code for Bishop International Airport, a commercial airport serving the Flint, Michigan area in the United States.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a648a88190853ee741edcf6ca2 |
completed | April 20, 2026, 5:25 p.m. |
Created at: April 11, 2026, 3:33 p.m.