Triple
T17807817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Glarus |
E444612
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | Linth |
—
|
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: Linth | Statement: [City of Glarus, hasRiver, Linth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linth Context triple: [City of Glarus, hasRiver, Linth]
-
A.
Linth
chosen
The Linth is a major river in eastern Switzerland that flows through the canton of Glarus before joining the Rhine.
-
B.
Terling
Terling is a small rural village and civil parish in the county of Essex in eastern England, known for its historic buildings and countryside setting.
-
C.
Tealing
Tealing is a small rural village in eastern Scotland, situated in the Angus council area just north of Dundee.
-
D.
Linnton
Linnton is a riverside neighborhood in northwest Portland, Oregon, characterized by its mix of industrial areas, forested hillsides, and access to the Willamette River.
-
E.
Tesseney
Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e488779a3081908405eac4930a095f |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.