Triple
T14828536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dog Unit |
E348636
|
entity |
| Predicate | usesAnimal |
P16495
|
FINISHED |
| Object | German Shepherd |
E496863
|
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: German Shepherd | Statement: [Dog Unit, usesAnimal, German Shepherd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: German Shepherd Context triple: [Dog Unit, usesAnimal, German Shepherd]
-
A.
German Shepherd
chosen
The German Shepherd is a large, intelligent, and versatile working dog breed renowned for its roles in police, military, and service work as well as a loyal family companion.
-
B.
Dobermann
Dobermann is a 1997 French action-crime film known for its hyper-stylized violence and anarchic portrayal of a gang of ruthless bank robbers.
-
C.
Rottweiler
The Rottweiler is a large, powerful working dog breed from Germany, known for its strength, loyalty, and use in guarding, protection, and police work.
-
D.
Doberman Pinschers
Doberman Pinschers are a medium-to-large, sleek and powerful dog breed known for their intelligence, loyalty, and frequent use as guard and protection dogs.
-
E.
Sandweiler
Sandweiler is a small town and commune in central Luxembourg, known for its proximity to Luxembourg City and its World War II military cemetery.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded0737d4c8190a49bf6b013da208c |
completed | April 14, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a16fd881909d246d8d1811a673 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:51 a.m.