Triple
T24583356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirionó language |
E608310
|
entity |
| Predicate | spokenInEnvironment |
P153671
|
FINISHED |
| Object | tropical lowland forests |
—
|
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: tropical lowland forests | Statement: [Sirionó language, spokenInEnvironment, tropical lowland forests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenInEnvironment Context triple: [Sirionó language, spokenInEnvironment, tropical lowland forests]
-
A.
spokenInLocality
Indicates that a language, dialect, or speech form is used or spoken within a specific locality or geographic area.
-
B.
isSpokenAround
Indicates that something (such as a language, phrase, or expression) is commonly spoken in the vicinity of, or within the general area surrounding, a particular place or entity.
-
C.
isSpokenInTerrain
chosen
Indicates that a particular language or speech form is used or occurs within a specific type of terrain or geographical environment.
-
D.
givesSpeechIn
Indicates that an entity delivers or presents a speech within a particular location, event, or context.
-
E.
spokenInUrbanArea
Indicates that an utterance or speech event occurs within a city or densely populated urban environment.
- 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a984577881908c855f5e05756909 |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.