Triple
T15001238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czechoslovak centralist parties |
E374093
|
entity |
| Predicate | viewedCzechsAndSlovaksAs |
P116300
|
FINISHED |
| Object | one Czechoslovak nation |
—
|
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: one Czechoslovak nation | Statement: [Czechoslovak centralist parties, viewedCzechsAndSlovaksAs, one Czechoslovak nation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewedCzechsAndSlovaksAs Context triple: [Czechoslovak centralist parties, viewedCzechsAndSlovaksAs, one Czechoslovak nation]
-
A.
timeUnderCzechoslovakia
Indicates that the subject entity existed or was in effect during the historical period when Czechoslovakia was a state.
-
B.
viewOnUSSR
Indicates a relationship where an entity expresses or holds a particular view, opinion, or stance regarding the USSR.
-
C.
czechName
Indicates that an entity has a name in the Czech language, specifying the Czech-language form of its name.
-
D.
usedInFormerEasternBlocCountry
Indicates that something was used within a country that was part of the former Eastern Bloc.
-
E.
thirdLargestSlavicNation
Indicates that the subject entity holds the position of being the third largest nation among Slavic countries, typically by population or area.
- F. None of above. chosen
Provenance (4 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded72fec948190b1c9705538c57976 |
completed | April 15, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69de9a6531a88190acde65199a477350 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a88d588190996afa8e5b32b552 |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:54 a.m.