Triple
T5355764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baumwerder |
E102686
|
entity |
| Predicate | hasWaterbody |
P19308
|
FINISHED |
| Object | Havel system |
E34243
|
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: Havel system | Statement: [Baumwerder, hasWaterbody, Havel system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Havel system Context triple: [Baumwerder, hasWaterbody, Havel system]
-
A.
Havelian
Havelian is a town in Pakistan’s Khyber Pakhtunkhwa province, known as a local commercial center and a key junction on the Karakoram Highway.
-
B.
Havel
chosen
The Havel is a river in northeastern Germany that flows through Berlin and Brandenburg before joining the Elbe.
-
C.
Sosva
Sosva is a rural locality in Sverdlovsk Oblast, Russia, historically known as the site of a Soviet-era labor camp where Finnish communist leader Kullervo Manner died.
-
D.
Nelahozeves
Nelahozeves is a historic village in the Czech Republic best known as the birthplace of composer Antonín Dvořák.
-
E.
Háje
Háje is a Prague Metro station serving as the southern terminus of Line C in the Háje district of the city.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd862f0ea48190bec78690ab3bee51 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21e2b7b08190aca4c2855ff041de |
completed | March 21, 2026, 10:55 p.m. |
Created at: March 20, 2026, 2:01 p.m.