Triple
T30777362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaud wine region |
E783711
|
entity |
| Predicate | capitalCityOfCanton |
P158549
|
FINISHED |
| Object | Lausanne |
—
|
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: Lausanne | Statement: [Vaud wine region, capitalCityOfCanton, Lausanne]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalCityOfCanton Context triple: [Vaud wine region, capitalCityOfCanton, Lausanne]
-
A.
capitalAreaOf
Indicates that a specified area value represents the total land or geographic size of the capital city of a given entity.
-
B.
capitalCityOfLargestCanton
Indicates the city that serves as the capital of the geographically largest canton within a given country or region.
-
C.
عاصمة
chosen
Indicates that one entity is the capital city of another entity, typically a country or region.
-
D.
principalCityOf
Indicates that a city serves as the main or most important city (often administrative, economic, or cultural center) of a specified region or area.
-
E.
capitalLikeCity
Indicates that a capital city shares similar characteristics or status to a particular city.
- F. None of above.
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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: April 29, 2026, 8:41 p.m.