Triple
T7001637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helvetii |
E162350
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Helvetia |
E31683
|
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: Helvetia | Statement: [Helvetii, locatedIn, Helvetia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helvetia Context triple: [Helvetii, locatedIn, Helvetia]
-
A.
Helvetia
chosen
Helvetia is the female national personification of Switzerland, symbolizing the Swiss Confederation and its unity, independence, and identity.
-
B.
Swissmint
Swissmint is the official mint of Switzerland responsible for producing the country’s coins and other numismatic products.
-
C.
Helvetia General Insurance Company
Helvetia General Insurance Company is a Swiss insurance firm known for its role in the origins of Swiss Re, one of the world’s leading reinsurance companies.
-
D.
Berner
A Berner is a resident or native of the Swiss city of Bern.
-
E.
Bernex
Bernex is a municipality in western Switzerland located near the city of Geneva, known for its semi-rural character and surrounding vineyards.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc0f8830819091f4356296234713 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a310eb08190a0fc1de2814aea08 |
completed | March 28, 2026, 5:42 a.m. |
Created at: March 27, 2026, 2:33 p.m.