Triple
T14954126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peene River |
E372875
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Loitz |
E1021597
|
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: Loitz | Statement: [Peene River, flowsThrough, Loitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Loitz Context triple: [Peene River, flowsThrough, Loitz]
-
A.
Loitz
chosen
Loitz is a small town in northeastern Germany situated in the state of Mecklenburg-Vorpommern.
-
B.
Loerzer
Loerzer is the surname of Bruno Loerzer, a notable German First World War flying ace and later Luftwaffe general.
-
C.
Lotha
Lotha is a Naga ethnic group primarily inhabiting the Wokha district of Nagaland in Northeast India, known for its rich cultural traditions and festivals.
-
D.
Marloffstein
Marloffstein is a small municipality in the Erlangen-Höchstadt district of Bavaria, Germany, known for its rural character and proximity to the city of Erlangen.
-
E.
Leyhof
Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cb336c8190b8a55106fa8fc500 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9c71cc8190aff9165a6f97981a |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:40 a.m.