Triple
T24239498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akkala Sami language |
E603180
|
entity |
| Predicate | lastKnownNativeSpeaker |
P23806
|
FINISHED |
| Object | Maria Sergina |
—
|
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: Maria Sergina | Statement: [Akkala Sami language, lastKnownNativeSpeaker, Maria Sergina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastKnownNativeSpeaker Context triple: [Akkala Sami language, lastKnownNativeSpeaker, Maria Sergina]
-
A.
lastTraditionalNativeSpeakerOftenCitedAs
Indicates that the subject is widely regarded or referenced as the last traditional native speaker of the language or dialect in question.
-
B.
lastKnownSpeaker
chosen
Indicates the entity that was most recently identified or recorded as speaking in a given context or interaction.
-
C.
lastNativeSpeakersDiedOut
Indicates that the final remaining native speakers of a language or dialect have died, resulting in the loss of native speech for that language.
-
D.
hasNativeSpeakers
Indicates that a language or dialect is spoken as a first language by one or more people or populations.
-
E.
lastKnownSpeakers
Indicates the people or entities most recently known to use or speak a particular language.
- 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_69e2953f631c819097cbb421046bd417 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28a9eb68c81908a8293c00e581b41 |
completed | April 29, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f1c448abec8190b87cbf9ed419a309 |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:03 a.m.