Triple
T16482370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mastrils |
E400351
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Zizers |
E1216189
|
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: Zizers | Statement: [Mastrils, neighboringMunicipality, Zizers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zizers Context triple: [Mastrils, neighboringMunicipality, Zizers]
-
A.
Zizers
chosen
Zizers is a municipality in the canton of Graubünden in eastern Switzerland, situated in the Rhine Valley near the town of Chur.
-
B.
Kritzinger
Kritzinger is a German surname most notably associated with Friedrich Wilhelm Kritzinger, a high-ranking Nazi official involved in the administrative planning of the Holocaust.
-
C.
Vilters
Vilters is a locality within the Swiss municipality of Vilters-Wangs in the canton of St. Gallen.
-
D.
Zurer
Zurer is the surname of Ayelet Zurer, an Israeli actress known for her roles in international films and television series.
-
E.
Vucherens
Vucherens is a small rural municipality in the canton of Vaud in western Switzerland, characterized by its agricultural landscape and proximity to the town of Moudon.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e03643881908b16ddb9004af5d0 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067a168c081908f630b45bf85d9f6 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:13 a.m.