Triple
T3915107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Association of Caribbean States |
E88816
|
entity |
| Predicate | hasObserverMembers |
P7638
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Association of Caribbean States, hasObserverMembers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasObserverMembers Context triple: [Association of Caribbean States, hasObserverMembers, true]
-
A.
hasObserver
Indicates that an entity is being watched, monitored, or examined by another entity acting as an observer.
-
B.
hasMembers
chosen
Indicates that a group, organization, or collection includes certain entities as its members.
-
C.
hasObserverStates
Indicates that an entity is associated with one or more observer-specific states or conditions under which it is perceived or evaluated.
-
D.
hasExtantMembers
Indicates that the referenced group, category, or lineage currently has living or existing members.
-
E.
hasObserverType
Indicates that an entity is associated with a particular type or category of observer that monitors, views, or records it.
- 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_69aed955229881909e85e73ffab1d343 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef188b474819087680db42b04ecdd |
completed | March 9, 2026, 4:12 p.m. |
| PD | Predicate disambiguation | batch_69aee75eedcc81908088ff4dbb8be56b |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:22 p.m.