Triple
T29951749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurin & Klement FC |
E760784
|
entity |
| Predicate | manufacturerCountryHistorical |
P138136
|
FINISHED |
| Object | Bohemia |
—
|
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: Bohemia | Statement: [Laurin & Klement FC, manufacturerCountryHistorical, Bohemia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manufacturerCountryHistorical Context triple: [Laurin & Klement FC, manufacturerCountryHistorical, Bohemia]
-
A.
historicalOriginCountry
Indicates the country from which something originally came or first emerged in a historical context.
-
B.
countryOfHistoricRole
Indicates the country in which an entity held a significant historical role or carried out historically notable activities.
-
C.
historicalOrigin
Indicates the relationship by which one entity serves as the source, origin, or starting point in history for another entity.
-
D.
historicallyBorneBy
Indicates that an entity has carried, possessed, or used another entity (such as a name, title, or symbol) at some point in the past.
-
E.
historicallyAssociatedWithModernCountry
chosen
Indicates that an entity has a significant historical connection, influence, or origin related to a specified modern country.
- 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6783586948190bbb1d9f27fba961a |
completed | May 2, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 6:26 p.m.