Triple
T3466841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Standard of the monarch in Antigua and Barbuda |
E73157
|
entity |
| Predicate | flownWhen |
P48959
|
FINISHED |
| Object | monarch is present |
—
|
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: monarch is present | Statement: [Royal Standard of the monarch in Antigua and Barbuda, flownWhen, monarch is present]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flownWhen Context triple: [Royal Standard of the monarch in Antigua and Barbuda, flownWhen, monarch is present]
-
A.
flownAt
Indicates that an entity has traveled or been transported by air at a specified time, place, or condition.
-
B.
flownOn
Indicates that an entity has traveled as a passenger or crew member on a particular flight or aircraft.
-
C.
fledDuring
Indicates that one entity escaped or ran away during the time period or event represented by the other entity.
-
D.
fledAfter
Indicates that one entity escaped or ran away after a particular event, action, or condition involving another entity occurred.
-
E.
notFlownBy
Indicates that a particular aircraft, flight, or aerial vehicle is explicitly not operated, controlled, or piloted by a specified agent or pilot.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbb1090188190ac8aafd87dfaa6a7 |
completed | March 8, 2026, 6:08 p.m. |
| PD | Predicate disambiguation | batch_69adae05bb0081909dc7e4779d6e05ef |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb1ecb02881908394f197e31431b4 |
completed | March 8, 2026, 5:29 p.m. |
Created at: March 8, 2026, 3:17 p.m.