Triple
T12761173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Free Trade Area of the Americas |
E304997
|
entity |
| Predicate | numberOfPotentialMembers |
P106763
|
FINISHED |
| Object | 34 |
—
|
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: 34 | Statement: [Free Trade Area of the Americas, numberOfPotentialMembers, 34]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPotentialMembers Context triple: [Free Trade Area of the Americas, numberOfPotentialMembers, 34]
-
A.
numberOfMembersDeterminedBy
Indicates that the quantity of members in one entity is defined or constrained by another entity or factor.
-
B.
numberOfFullMembers
Indicates the total count of entities that hold full membership status within a specified group or organization.
-
C.
numberOfKnownMembers
Indicates the count of members within a group or set whose identities are known or have been explicitly determined.
-
D.
numberOfAdditionalMembers
Indicates the count of extra members associated with an entity beyond its primary or standard membership.
-
E.
numberOfGroupMembers
Indicates the total count of individual members that belong to a specified group.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8e44188190840cd23d380bf23d |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d87078c819083ea724238992204 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:28 p.m.