Triple
T21036136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halle (Saale) region |
E518193
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Leuna |
—
|
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: Leuna | Statement: [Halle (Saale) region, contains, Leuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leuna Context triple: [Halle (Saale) region, contains, Leuna]
-
A.
Leuna
chosen
Leuna is a town in the Saalekreis district of Saxony-Anhalt, Germany, historically known for its large chemical industry complex.
-
B.
Eschede
Eschede is a municipality in Lower Saxony, Germany, known for its rural setting and the site of the 1998 ICE high-speed train disaster.
-
C.
Risca
Risca is a town in south Wales situated in the county borough of Caerphilly, near Newport, with a history rooted in coal mining and industry.
-
D.
Warstein
Warstein is a town in North Rhine-Westphalia, Germany, best known for its Warsteiner brewery and its location in the Sauerland region.
-
E.
Löbau
Löbau is a small town in the Free State of Saxony in eastern Germany, known for its historic architecture and location in the Lusatian Highlands.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc865ca88190abf336ee9012fa77 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 2:02 p.m.