Triple
T33228115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Takuu Atoll |
E850612
|
entity |
| Predicate | documentaryTopic |
P40577
|
FINISHED |
| Object | impact of climate change on Takuu community |
—
|
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: impact of climate change on Takuu community | Statement: [Takuu Atoll, documentaryTopic, impact of climate change on Takuu community]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: documentaryTopic Context triple: [Takuu Atoll, documentaryTopic, impact of climate change on Takuu community]
-
A.
documentaryFocus
chosen
Indicates that a documentary work primarily centers on, examines, or explores a particular subject, theme, or entity.
-
B.
documentaryFunction
Indicates that one entity serves as a documentary record or evidence for another entity, capturing, describing, or documenting it.
-
C.
documentaryTitle
Indicates that one entity is the title assigned to a documentary work associated with another entity.
-
D.
documentaryReleasedOn
Indicates that a specific documentary was released on a particular date.
-
E.
hasDocumentaryAboutIt
Indicates that there exists a documentary film or program whose subject matter is focused on the referenced 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_69f349613f988190a1eb75467d167122 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f71362f1448190985a80ce7af475cb |
completed | May 3, 2026, 9:20 a.m. |
| PD | Predicate disambiguation | batch_69f7127884388190884f23d181a65d19 |
completed | May 3, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:30 a.m.