Triple
T16117667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Czechoslovakia |
E391045
|
entity |
| Predicate | statusAfter1992 |
P121542
|
FINISHED |
| Object | no longer official national flag |
—
|
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: no longer official national flag | Statement: [Flag of Czechoslovakia, statusAfter1992, no longer official national flag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfter1992 Context triple: [Flag of Czechoslovakia, statusAfter1992, no longer official national flag]
-
A.
statusAfter1991
Indicates the status or condition of an entity in the period following the year 1991.
-
B.
statusAfter1994
Indicates the status or condition of an entity specifically in the period after the year 1994.
-
C.
statusAfter1996
Indicates the status or condition of an entity as it exists after the year 1996.
-
D.
statusAfter1997
Indicates the status or condition of an entity specifically in the period after the year 1997.
-
E.
statusAfter1995
Indicates the condition or state of an entity specifically in the period after the year 1995.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2016c10a081909b2d23ecea153a9c |
completed | April 17, 2026, 9:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e183b9d3f08190953ada68f4272996 |
completed | April 17, 2026, 12:50 a.m. |
Created at: April 10, 2026, 5 a.m.