Triple
T27686699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FC Sellier & Bellot Vlašim |
E698050
|
entity |
| Predicate | homeTownCountry |
P93388
|
FINISHED |
| Object | Czech Republic |
—
|
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: Czech Republic | Statement: [FC Sellier & Bellot Vlašim, homeTownCountry, Czech Republic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeTownCountry Context triple: [FC Sellier & Bellot Vlašim, homeTownCountry, Czech Republic]
-
A.
homeTownType
Indicates the type or classification of a person's hometown (e.g., city, village, suburb).
-
B.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
-
C.
countyOfOrigin
Indicates the county from which an entity originally comes or was first produced.
-
D.
homeCountryRegion
chosen
Indicates the country or broader geographic region that is considered the primary home or origin of an entity.
-
E.
homeCityOf
Indicates that a particular city is the primary place of residence or origin for a given person or organization.
- 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_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 2:50 p.m.