Triple
T10914461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoncalla |
E257781
|
entity |
| Predicate | lastSpeakersDied |
P22729
|
FINISHED |
| Object | 20th 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: 20th century | Statement: [Yoncalla, lastSpeakersDied, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastSpeakersDied Context triple: [Yoncalla, lastSpeakersDied, 20th 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.
lastKnownSpeakersDate
chosen
Indicates the date on which the last known speakers of a language or dialect were recorded or documented.
-
C.
lastKnownSpeakers
Indicates the people or entities most recently known to use or speak a particular language.
-
D.
diedAfter
Indicates that one entity’s death occurred later in time than another entity’s death.
-
E.
diedShortlyBefore
Indicates that one entity’s death occurred a brief time before another specified event or entity’s death.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77073d12881908ea59771b84bc804 |
completed | April 9, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69d70d3f9dc88190a686a8b0dd6a3b21 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:22 p.m.