Triple
T10387959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Powhatan |
E244813
|
entity |
| Predicate | postContactOutcome |
P93920
|
FINISHED |
| Object | population decline from disease and warfare |
—
|
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 from disease and warfare | Statement: [Powhatan, postContactOutcome, population decline from disease and warfare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postContactOutcome Context triple: [Powhatan, postContactOutcome, population decline from disease and warfare]
-
A.
contactWith
Indicates that two entities are in direct or indirect physical or communicative interaction or touch with each other.
-
B.
confirmationOutcome
Indicates the result or status produced when a prior action, request, or assertion is checked and confirmed.
-
C.
correspondedWith
Indicates that two entities engaged in mutual communication, typically by exchanging messages or letters over a period of time.
-
D.
contactLanguageWith
Indicates that two entities communicate with each other using a particular language as the medium of contact.
-
E.
campaignOutcome
Indicates the result or consequence of a campaign, expressing how the campaign ultimately turned out or what it achieved.
- 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_69d381b5116081908d85227bab6d3c0c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9a59d688190b1da1ea0ed48fafa |
completed | April 7, 2026, 11:25 a.m. |
| PD | Predicate disambiguation | batch_69d4dfb0e7a88190bec0b7a52c70dfe2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:05 p.m.