Triple
T31619307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Urban the cannon founder |
E806849
|
entity |
| Predicate | possibleCountryOfOrigin |
P133722
|
FINISHED |
| Object | Kingdom of Hungary |
—
|
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: Kingdom of Hungary | Statement: [Urban the cannon founder, possibleCountryOfOrigin, Kingdom of Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleCountryOfOrigin Context triple: [Urban the cannon founder, possibleCountryOfOrigin, Kingdom of Hungary]
-
A.
likelyCountryOfOrigin
chosen
Indicates that an entity is probably from, or most commonly associated with originating in, a particular country.
-
B.
countryOfOrigin
Indicates the country from which an entity originally comes or was first produced, created, or established.
-
C.
composerCountryOfOrigin
Indicates the country from which a composer originally comes or with which they are primarily culturally or nationally associated.
-
D.
orderCountryOfOrigin
Indicates the country from which an order was originally placed, sourced, or shipped.
-
E.
organizationCountryOfOrigin
Indicates the country where an organization was originally founded or established.
- 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_69f348d7883c8190b6c13ab92b7ef076 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f707f7959881908f037f0d6b1d0c36 |
completed | May 3, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69f700fc274c8190a128593dc7c7abd0 |
completed | May 3, 2026, 8:02 a.m. |
Created at: April 30, 2026, 10:40 p.m.