Triple
T22164709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S41 line |
E547760
|
entity |
| Predicate | via |
P5680
|
FINISHED |
| Object | Eglisau |
—
|
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: Eglisau | Statement: [S41 line, via, Eglisau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eglisau Context triple: [S41 line, via, Eglisau]
-
A.
Eglisau
chosen
Eglisau is a historic Swiss town on the Rhine River in the canton of Zurich, known for its picturesque old town, vineyards, and riverside setting.
-
B.
Fourneaux
Fourneaux is a small French commune in the Savoie department of southeastern France, situated in the Alps near the Italian border.
-
C.
Eassie
Eassie is a small rural village in Angus, Scotland, known for its historic Pictish sculptured stone housed in the local church ruins.
-
D.
Gnosall
Gnosall is a large rural village and civil parish in Staffordshire, England, known for its historic canal, agricultural surroundings, and community amenities.
-
E.
Borrisoleigh
Borrisoleigh is a rural village in Ireland known for its strong hurling tradition and scenic location in the northern part of County Tipperary.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a309d8081908f4540fe2da63010 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.