Triple
T2505237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khoisan peoples |
E52561
|
entity |
| Predicate | modernIssue |
P40848
|
FINISHED |
| Object | loss of ancestral lands |
—
|
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: loss of ancestral lands | Statement: [Khoisan peoples, modernIssue, loss of ancestral lands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernIssue Context triple: [Khoisan peoples, modernIssue, loss of ancestral lands]
-
A.
currentIssue
Indicates that an entity is the presently relevant or active issue in a given context or discussion.
-
B.
modernStatus
Indicates the current or contemporary condition, classification, or standing of an entity in the present time.
-
C.
modernUse
Indicates how something is currently used or applied in modern times.
-
D.
majorIssue
Indicates that something is a primary or most significant problem, concern, or obstacle in a given context.
-
E.
modernState
Indicates that an entity functions as a contemporary, currently existing state or nation in the modern era.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd65c9d508190957285a078698ed2 |
completed | March 7, 2026, 7:40 a.m. |
Created at: March 6, 2026, 9:46 p.m.