Triple
T18956059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sorau |
E463783
|
entity |
| Predicate | hasGermanName |
P1435
|
FINISHED |
| Object | Sorau |
—
|
NE NERFINISHED |
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: Sorau | Statement: [Sorau, hasGermanName, Sorau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sorau Context triple: [Sorau, hasGermanName, Sorau]
-
A.
Sorau
chosen
Sorau is a historic town in present-day Żary, western Poland, that was formerly part of Prussia and is known for its shifting political affiliations in Central European history.
-
B.
Sinnar
Sinnar is a town in the Nashik district of Maharashtra, India, known for its historical temples and growing industrial development.
-
C.
Sa’och
Sa’och is an indigenous Pearic language (and its associated ethnic group) of mainland Southeast Asia, traditionally spoken by a small community in Cambodia and nearby regions.
-
D.
Harestua
Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
-
E.
Suhre
The Suhre is a river in Switzerland that flows through the cantons of Lucerne and Aargau before joining the Aare.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5cdf2d08190a0aecd3fa5335a75 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon