Triple
T17702514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panche people |
E441342
|
entity |
| Predicate | impactOfColonization |
P128657
|
FINISHED |
| Object | population decline |
—
|
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: population decline | Statement: [Panche people, impactOfColonization, population decline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOfColonization Context triple: [Panche people, impactOfColonization, population decline]
-
A.
impactOnColonies
Indicates the effect or influence that one factor, event, or condition has on colonies.
-
B.
colonialLegacy
Indicates the enduring influence or consequences of a past colonial relationship that continue to shape interactions or conditions between entities.
-
C.
regionOfColonization
Indicates the geographic area or territory where a colonizing entity establishes and exercises colonial control.
-
D.
colonialDisplacement
Indicates the forced or coerced removal, relocation, or dispossession of people or communities as a result of colonial expansion, rule, or policies.
-
E.
colonialPerception
Indicates how one entity views, interprets, or characterizes another through the lens of colonial power dynamics, assumptions, and hierarchies.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4715c3980819094b080a871df1100 |
completed | April 19, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d018227c8190b6624a2199e765e8 |
completed | April 18, 2026, 6:40 p.m. |
Created at: April 10, 2026, 10:05 a.m.