Triple
T36452665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1929 Kollaa |
E898054
|
entity |
| Predicate | hasEponymCountry |
P158984
|
FINISHED |
| Object | Finland |
—
|
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: Finland | Statement: [1929 Kollaa, hasEponymCountry, Finland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEponymCountry Context triple: [1929 Kollaa, hasEponymCountry, Finland]
-
A.
eponymCountry
Indicates that a country is named after (or serves as the namesake for) a particular person, place, or entity.
-
B.
hasEponymCitizenship
Indicates that an entity’s eponym (the person or figure it is named after) holds or held a particular citizenship or national affiliation.
-
C.
countryOfEponym
Indicates that the related entity is named after something (an eponym) originating from or associated with a particular country.
-
D.
eponymOriginCountry
chosen
Indicates the country from which the person or entity that gave its name (as an eponym) to something originates.
-
E.
hasCountryOfOriginToponym
Indicates that something has a place name (toponym) specifying the country from which it originates.
- 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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bccf05bc8190b61fdb2b2a315811 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.