Triple
T28211278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malta STV elections |
E711175
|
entity |
| Predicate | firstUsedInCountry |
P152846
|
FINISHED |
| Object | 1921 |
—
|
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: 1921 | Statement: [Malta STV elections, firstUsedInCountry, 1921]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUsedInCountry Context triple: [Malta STV elections, firstUsedInCountry, 1921]
-
A.
wasFirstPerformedInCountry
chosen
Indicates that an action, event, or work was first performed within the borders of a specified country.
-
B.
firstUsedOn
Indicates the date, time, or context in which something was initially applied, activated, or put into use on a particular object or entity.
-
C.
usedInCountry
Indicates that something is utilized, applied, or in operation within the specified country.
-
D.
firstUsedFor
Indicates that one entity was the earliest or original thing for which another entity was used or applied.
-
E.
firstUsedAs
Indicates that one entity was the earliest or original thing in which another entity was used or applied.
- F. None of above.
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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69ffc7b4c7f88190b6357a44e7f0940f |
completed | May 9, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69ffc755f09c8190995ca00d97336988 |
completed | May 9, 2026, 11:46 p.m. |
Created at: April 27, 2026, 10:39 p.m.