Triple
T12764736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neusiok |
E305089
|
entity |
| Predicate | neighboringPeople |
P11274
|
FINISHED |
| Object | Weapemeoc |
E280861
|
NE 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: Weapemeoc | Statement: [Neusiok, neighboringPeople, Weapemeoc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weapemeoc Context triple: [Neusiok, neighboringPeople, Weapemeoc]
-
A.
Weapemeoc
chosen
The Weapemeoc were an Algonquian-speaking Indigenous people who historically lived along the coastal regions of what is now northeastern North Carolina.
-
B.
Brecheret
Brecheret is the surname of Victor Brecheret, a prominent Italian-Brazilian modernist sculptor known for his monumental public works in Brazil.
-
C.
Vapniarka
Vapniarka is a small settlement in present-day Ukraine that gained historical significance as a site of military action and occupation during World War II.
-
D.
Machaon
Machaon is a figure from Greek mythology, renowned as a skilled healer and son of the legendary physician Asclepius.
-
E.
Orpo
Orpo was the uniformed regular police force of Nazi Germany, responsible for maintaining public order and involved in numerous wartime atrocities and repressive activities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df1ef148190af525532fcb0933b |
completed | April 10, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684f4e1508190a6f023f1d1dc192e |
completed | May 2, 2026, 11:12 p.m. |
Created at: April 9, 2026, 5:28 p.m.