Triple
T3705953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Andamanese languages |
E80892
|
entity |
| Predicate | historicalSpeakers |
P23402
|
FINISHED |
| Object | several thousand people in the 19th 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: several thousand people in the 19th century | Statement: [Great Andamanese languages, historicalSpeakers, several thousand people in the 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalSpeakers Context triple: [Great Andamanese languages, historicalSpeakers, several thousand people in the 19th century]
-
A.
historicalPeople
Indicates that the related entities are people who lived in or are associated with a past historical period or context.
-
B.
historicalRepresentative
Indicates that one entity serves or served as an official representative or delegate of another entity in a historical context.
-
C.
historicalFigure
Indicates that an entity is recognized as a notable person from the past who played a significant role in history.
-
D.
historicallySpoke
chosen
Indicates that an entity used a particular language as a spoken language during some period in the past.
-
E.
notableSpeechBy
Indicates that a particular speech or address is notably given or delivered by a specific entity.
- 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc54ce1788190ac000793cbdaba48 |
completed | March 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69adc041a8608190a2d543dab6d2ef6c |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:33 p.m.