Triple
T15096987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parliament of Antigua and Barbuda |
E360563
|
entity |
| Predicate | typeOfStateHeadInvolved |
P82125
|
FINISHED |
| Object | constitutional monarchy |
—
|
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: constitutional monarchy | Statement: [Parliament of Antigua and Barbuda, typeOfStateHeadInvolved, constitutional monarchy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfStateHeadInvolved Context triple: [Parliament of Antigua and Barbuda, typeOfStateHeadInvolved, constitutional monarchy]
-
A.
hasStateInvolved
Indicates that a particular state (as a political or administrative entity) participates in, is implicated in, or plays a role within a given situation, event, or relationship.
-
B.
typeOfState
Indicates that one state is a specific kind or category of another, more general state.
-
C.
constantInvolved
Indicates that a constant participates in or is directly involved in the specified relation, operation, or context.
-
D.
stateHead
Indicates that one entity serves as the head or leader of a state-level governmental or administrative unit in relation to the other entity.
-
E.
typeOfInvolvement
chosen
Indicates the specific role, capacity, or manner in which one entity is involved with or participates in another entity or activity.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005466e9c8190a68e1fbeb8922b1a |
completed | April 15, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:04 a.m.