Triple
T703992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Czechoslovakism |
E14059
|
entity |
| Predicate | usedInCensus |
P13001
|
FINISHED |
| Object | Czechoslovak nationality category |
—
|
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: Czechoslovak nationality category | Statement: [Czechoslovakism, usedInCensus, Czechoslovak nationality category]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInCensus Context triple: [Czechoslovakism, usedInCensus, Czechoslovak nationality category]
-
A.
censusDefinedAs
chosen
Indicates that one entity is formally specified, characterized, or classified by another according to census definitions or criteria.
-
B.
censusRegion
Indicates the broader census-defined geographic region in which an entity (such as a place or population unit) is located or classified.
-
C.
usedInCity
Indicates that something is utilized, applied, or operates within the context or boundaries of a particular city.
-
D.
containsCensusDesignatedPlace
Indicates that one geographic or administrative area includes within its boundaries a census-designated place.
-
E.
populationIncludes
Indicates that a population contains or encompasses the specified individual(s) or subgroup(s) as members or elements.
- 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_69a493494ec48190ae6751683625a9ba |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58d4c3c8190ad4527d14bca5e6e |
completed | March 1, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69a4a4edc33881909a978268f6dd5d82 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.