Triple
T2793809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligerz |
E61988
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Seeland region |
E63063
|
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: Seeland region | Statement: [Ligerz, locatedIn, Seeland region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seeland region Context triple: [Ligerz, locatedIn, Seeland region]
-
A.
Seeland region
chosen
The Seeland region is an area in western Switzerland known for its lakes, fertile plains, and intensive agriculture, particularly vegetable farming.
-
B.
Taunus region
The Taunus region is a low mountain range in Hesse, Germany, known for its forested hills, spa towns, and historical castles overlooking the Rhine-Main area.
-
C.
Eurobodalla region
The Eurobodalla region is a coastal area in southeastern New South Wales, Australia, known for its beaches, national parks, and rural towns centered around Batemans Bay, Moruya, and Narooma.
-
D.
Lika region
The Lika region is a mountainous and sparsely populated area of central Croatia known for its karst landscapes, forests, and traditional rural culture.
-
E.
Karas Region
Karas Region is the southernmost administrative region of Namibia, known for its arid landscapes, desert scenery, and coastal towns along the Atlantic Ocean.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddd33610819085ac7c5bec0e6af0 |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce9069f481908c4a3e8814caf590 |
completed | March 10, 2026, 7:56 a.m. |
Created at: March 6, 2026, 9:58 p.m.