Triple
T2561009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | German Brazilians |
E57240
|
entity |
| Predicate | relatedGroup |
P37
|
FINISHED |
| Object | Pomeranians |
E110594
|
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: Pomeranians | Statement: [German Brazilians, relatedGroup, Pomeranians]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pomeranians Context triple: [German Brazilians, relatedGroup, Pomeranians]
-
A.
Pomeranians
chosen
Pomeranians are a West Slavic ethnic group native to the historical region of Pomerania along the Baltic Sea, primarily in modern-day Poland and Germany.
-
B.
Little Tew
Little Tew is a small rural village in Oxfordshire, England, known for its traditional stone cottages and picturesque countryside setting.
-
C.
Chihuahua
Chihuahua is Mexico’s largest state by area, known for its desert landscapes, rugged mountain ranges, and significant role in the country’s history and industry.
-
D.
Pug
Pug is a high-performance, whitespace-sensitive template engine for Node.js that compiles a concise, indentation-based syntax into HTML for server-side rendering.
-
E.
Shetland ponies
Shetland ponies are a small, hardy breed of pony from Scotland’s Shetland Islands, renowned for their strength, dense coat, and suitability for children and light draft work.
- 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_69ab4a4ef9008190a0e6d4422b9418b7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd334b69481908a6f2c0b41550ce9 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d233dbc81909feb1127cffb027f |
completed | March 9, 2026, 11:52 p.m. |
Created at: March 6, 2026, 9:48 p.m.