Triple
T33406734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vuvalini of Many Mothers |
E855456
|
entity |
| Predicate | statusOfHomeland |
P198705
|
FINISHED |
| Object | environmentally destroyed |
—
|
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: environmentally destroyed | Statement: [Vuvalini of Many Mothers, statusOfHomeland, environmentally destroyed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfHomeland Context triple: [Vuvalini of Many Mothers, statusOfHomeland, environmentally destroyed]
-
A.
legalStatusInHomeland
Indicates the legal status or classification an entity holds within its country or place of origin.
-
B.
viewOfHomeland
Indicates a perspective, opinion, or emotional attitude that an entity holds toward its homeland.
-
C.
hasHomeland
Indicates that an entity considers or recognizes a particular place or region as its homeland or place of origin.
-
D.
domesticStatus
Indicates the legal or social domestic relationship status between entities, such as whether they are married, partnered, cohabiting, or in another recognized household arrangement.
-
E.
governmentStatus
Indicates the type or condition of governance or political authority that an entity currently holds or is subject to.
- 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69feff70fbec8190b1ff5f943f29613e |
completed | May 9, 2026, 9:33 a.m. |
| PD | Predicate disambiguation | batch_69fefbcd5b7881909cfe52b32f8a4301 |
completed | May 9, 2026, 9:18 a.m. |
| PDg | Predicate description generation | batch_69feff703fec8190ab7d0633e0cc5459 |
completed | May 9, 2026, 9:33 a.m. |
Created at: May 1, 2026, 1:36 a.m.