Triple
T33052547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Tolna County |
E845767
|
entity |
| Predicate | subdivisionCountry |
P85169
|
FINISHED |
| Object | 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: Hungary | Statement: [Flag of Tolna County, subdivisionCountry, Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subdivisionCountry Context triple: [Flag of Tolna County, subdivisionCountry, Hungary]
-
A.
subdivisionCountryName
chosen
Indicates the name of the country to which a given subdivision (such as a state, province, or region) belongs.
-
B.
countrySubdivision
Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
-
C.
associatedCountrySubdivision
Indicates a relationship where an entity is linked to a specific administrative subdivision (such as a state, province, or region) within a country.
-
D.
governingCountrySubdivision
Indicates that one country subdivision (such as a state, province, or region) has governing authority or administrative control over another geographic or political area.
-
E.
isRegionalSubdivisionOf
Indicates that one region functions as an administrative or geographic subdivision within a larger region.
- 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_69f3495242e48190996a2cb2beab5455 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d6a6b04c8190bee4cf9c00665ef7 |
completed | May 3, 2026, 5:01 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
Created at: May 1, 2026, 1:24 a.m.