Triple
T24123371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guajá |
E597723
|
entity |
| Predicate | primaryHabitatOfSpeakers |
P154935
|
FINISHED |
| Object | tropical rainforest |
—
|
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 rainforest | Statement: [Guajá, primaryHabitatOfSpeakers, tropical rainforest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryHabitatOfSpeakers Context triple: [Guajá, primaryHabitatOfSpeakers, tropical rainforest]
-
A.
spokenPrimarilyOn
Indicates that something (typically a language or dialect) is used mainly for spoken communication in a particular context, region, or group.
-
B.
primaryVocalLanguage
Indicates the main spoken language typically used by an entity for vocal communication.
-
C.
isSpokenPrimarilyByTribalCommunities
Indicates that a language is used mainly as the primary means of communication by tribal or indigenous communities.
-
D.
primaryLanguageArea
Indicates that a specified region or area is one where a particular language is predominantly used or officially recognized as primary.
-
E.
hasNativeSpeakers
Indicates that a language or dialect is spoken as a first language by one or more people or populations.
- F. None of above. chosen
Provenance (4 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_69e288c808b881909fed7d18f04bcbbe |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1dee5937c819092396751c23553ca |
completed | April 29, 2026, 10:35 a.m. |
| PD | Predicate disambiguation | batch_69f1765650fc8190a6bc1eb512b240bf |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17c28b684819084eea522126463f8 |
completed | April 29, 2026, 3:34 a.m. |
Created at: April 17, 2026, 11:06 p.m.