Triple
T10423234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M2 |
E245716
|
entity |
| Predicate | operatesInCountry |
P794
|
FINISHED |
| Object | Switzerland |
E5030
|
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: Switzerland | Statement: [M2, operatesInCountry, Switzerland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Switzerland Context triple: [M2, operatesInCountry, Switzerland]
-
A.
Switzerland
chosen
Switzerland is a landlocked Central European country known for its long-standing neutrality, mountainous landscapes, financial centers, and multilingual, federal political system.
-
B.
Switzerland and Liechtenstein
Switzerland and Liechtenstein are two small, landlocked Central European countries known for their Alpine landscapes, close economic ties, and shared use of the Swiss franc.
-
C.
Switzerland and Austria
Switzerland and Austria are neighboring Central European countries known for their Alpine landscapes, high living standards, and strong traditions in winter sports and tourism.
-
D.
Suize
The Suize is a small river in northeastern France that flows through the Haute-Marne department and contributes to its local hydrographic network.
-
E.
France and Switzerland
France and Switzerland are neighboring European countries that share part of the western Alpine region and have strong historical, cultural, and economic ties.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea2de4d48190aee65b3f6ec3cc48 |
completed | April 7, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb69410c81909b33e44a04ab77d9 |
completed | April 9, 2026, 7:18 p.m. |
Created at: April 6, 2026, 12:12 p.m.