Triple
T13768987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bo people |
E330824
|
entity |
| Predicate | lastKnownSpeakerOfLanguageDied |
P23806
|
FINISHED |
| Object | 21st century |
—
|
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: 21st century | Statement: [Bo people, lastKnownSpeakerOfLanguageDied, 21st century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastKnownSpeakerOfLanguageDied Context triple: [Bo people, lastKnownSpeakerOfLanguageDied, 21st century]
-
A.
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.
-
B.
endangeredLanguageSpeakerOf
Indicates that a person speaks a language that is classified as endangered.
-
C.
ceasedAsSpokenLanguage
Indicates that a language is no longer used as a medium of everyday spoken communication.
-
D.
lastTraditionalNativeSpeakerOftenCitedAs
Indicates that the subject is widely regarded or referenced as the last traditional native speaker of the language or dialect in question.
-
E.
lastKnownSpeaker
chosen
Indicates the entity that was most recently identified or recorded as speaking in a given context or interaction.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0233ecc48190b934f085d2501eb1 |
completed | April 14, 2026, 9 a.m. |
| PD | Predicate disambiguation | batch_69dbbe97846c819093b00ea117b64e0d |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 10:10 p.m.