Triple
T138776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chemehuevi people |
E2805
|
entity |
| Predicate | colonialContact |
P3812
|
FINISHED |
| Object | Spanish colonizers |
—
|
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: Spanish colonizers | Statement: [Chemehuevi people, colonialContact, Spanish colonizers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colonialContact Context triple: [Chemehuevi people, colonialContact, Spanish colonizers]
-
A.
hasColonialHistoryWith
chosen
Indicates that one entity has a historical relationship of colonization or being colonized involving the other entity.
-
B.
hadColonialAdministrationType
Indicates the specific form or system of colonial governance that was exercised over a territory or population.
-
C.
colonialPowerOfOrigin
Indicates the colonial state or empire from which a colony or formerly colonized territory originated or was governed.
-
D.
historicalContactWith
Indicates that two entities have interacted or been in communication with each other at some point in the past.
-
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.
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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a800148190be119d1d075869b8 |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a25652efdc8190b85b33735a9e6370 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.