Triple
T13390856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gmina Budzów |
E319566
|
entity |
| Predicate | borderingAdministrativeUnitType |
P64694
|
FINISHED |
| Object | gmina |
—
|
LITERAL FINISHED |
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: gmina | Statement: [Gmina Budzów, borderingAdministrativeUnitType, gmina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderingAdministrativeUnitType Context triple: [Gmina Budzów, borderingAdministrativeUnitType, gmina]
-
A.
borderingUnitType
chosen
Indicates that one unit is adjacent to another unit of a specified type along a shared boundary.
-
B.
borderingCountryOfTerritory
Indicates that one country shares a land or maritime boundary with the specified territory.
-
C.
borderingCountryOfRegion
Indicates that a country shares a land or maritime border with a specified geographic region.
-
D.
countryBorderType
Indicates the type or nature of the border relationship that exists between two countries.
-
E.
countryBorderFormsPartOf
Indicates that a specific border segment is part of the overall boundary between two countries.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dba0d543348190a9c1be509b015c0f |
completed | April 12, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:34 p.m.