Triple
T6691289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Australian Red Ensign |
E152631
|
entity |
| Predicate | statusAfter1954 |
P72228
|
FINISHED |
| Object | remained civil ensign while Blue Ensign became general 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: remained civil ensign while Blue Ensign became general national flag | Statement: [Australian Red Ensign, statusAfter1954, remained civil ensign while Blue Ensign became general national flag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusAfter1954 Context triple: [Australian Red Ensign, statusAfter1954, remained civil ensign while Blue Ensign became general national flag]
-
A.
statusAfter1956
Indicates the status or condition of an entity as it existed at any time after the year 1956.
-
B.
statusAfter1934
Indicates the condition or state something has specifically after the year 1934.
-
C.
statusAfter1946
Indicates the status or condition of an entity as it existed after the year 1946.
-
D.
statusAfter1995
Indicates the condition or state of an entity specifically in the period after the year 1995.
-
E.
statusAfter1979
Indicates the status or condition of an entity specifically in the period following the year 1979.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cd0fa5188190a23281cb09d98139 |
completed | March 27, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0d3c1081908dadff7a6a054123 |
completed | March 27, 2026, 4:15 p.m. |
| PDg | Predicate description generation | batch_69c6cd0d939081908ede0bb6ce19f559 |
completed | March 27, 2026, 6:31 p.m. |
Created at: March 27, 2026, 2:05 p.m.