Triple
T33778618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okiek language |
E865589
|
entity |
| Predicate | statusInKenya |
P199131
|
FINISHED |
| Object | endangered |
—
|
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: endangered | Statement: [Okiek language, statusInKenya, endangered]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInKenya Context triple: [Okiek language, statusInKenya, endangered]
-
A.
statusInGhana
Indicates the legal, social, or official standing or condition an entity holds within the context of Ghana.
-
B.
statusInEgypt
Indicates the legal, social, or official condition or standing that an entity holds specifically within the context of Egypt.
-
C.
statusInMozambique
Indicates the legal, social, or operational condition or standing that something or someone has within the context of Mozambique.
-
D.
statusInIndonesia
Indicates the legal, social, or operational standing or condition of an entity specifically within the context of Indonesia.
-
E.
statusInWestAfrica
Indicates the status, condition, or standing that an entity holds specifically within the context of West Africa.
- 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_69f3498df6f88190bf9647ea4e4a956e |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff21cbd9108190a52c0ba42004c669 |
completed | May 9, 2026, noon |
| PD | Predicate disambiguation | batch_69ff1faea91881908c626c70bca5100a |
completed | May 9, 2026, 11:51 a.m. |
| PDg | Predicate description generation | batch_69ff21ca6964819088bdf1810b7863f2 |
completed | May 9, 2026, noon |
Created at: May 1, 2026, 1:45 a.m.