Triple
T29951759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurin & Klement FC |
E760784
|
entity |
| Predicate | regionOfManufacture |
P195231
|
FINISHED |
| Object | Central Europe |
—
|
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: Central Europe | Statement: [Laurin & Klement FC, regionOfManufacture, Central Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfManufacture Context triple: [Laurin & Klement FC, regionOfManufacture, Central Europe]
-
A.
countryOfOrigin
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
B.
assemblyCountry
Indicates the country in which an item, product, or component is assembled.
-
C.
denominationOfOrigin
Indicates a legally recognized origin relationship where a product’s quality or characteristics are specifically attributable to being produced in a particular geographic region.
-
D.
intendedProductionRegion
Indicates the geographic area or region where something is planned or designated to be produced.
-
E.
originallyProducedIn
Indicates that something was first created, manufactured, or brought into existence in a particular place or location.
- F. None of above. chosen
Provenance (4 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fdb31800508190beec15adb9bbd292 |
completed | May 8, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_69fdb19c381c8190bafb2f565da097f1 |
completed | May 8, 2026, 9:49 a.m. |
| PDg | Predicate description generation | batch_69fdb3172b808190b590d7c5be31ebb7 |
completed | May 8, 2026, 9:55 a.m. |
Created at: April 29, 2026, 6:26 p.m.