Triple
T23334556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Częstochowa Voivodeship (former) |
E591539
|
entity |
| Predicate | borderedCountry |
P144172
|
FINISHED |
| Object | Czechoslovakia (historical) |
—
|
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: Czechoslovakia (historical) | Statement: [Częstochowa Voivodeship (former), borderedCountry, Czechoslovakia (historical)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderedCountry Context triple: [Częstochowa Voivodeship (former), borderedCountry, Czechoslovakia (historical)]
-
A.
countryBordering
Indicates that one country shares a land or maritime boundary directly with another country.
-
B.
borderingCountryOfState
chosen
Indicates that one country shares a land or maritime boundary directly with the specified state.
-
C.
provinceBordering
Indicates that two provinces share a common boundary or border with each other.
-
D.
borderingRepublic
Indicates that one republic shares a land or maritime border with another republic.
-
E.
borderedBy
Indicates that one entity shares a common boundary or edge with another entity.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f197f08fe481908766e674164d6d45 |
completed | April 29, 2026, 5:32 a.m. |
| PD | Predicate disambiguation | batch_69effcf8ca2c8190887d4f4656617d21 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:16 p.m.