Triple
T6174369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Campaign to Ban Landmines |
E137781
|
entity |
| Predicate | memberOrganizationsPresence |
P54146
|
FINISHED |
| Object | over 100 countries |
—
|
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: over 100 countries | Statement: [International Campaign to Ban Landmines, memberOrganizationsPresence, over 100 countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberOrganizationsPresence Context triple: [International Campaign to Ban Landmines, memberOrganizationsPresence, over 100 countries]
-
A.
hasMemberOrganizationsIn
chosen
Indicates that an entity includes or comprises member organizations that are located in or associated with a specified place or region.
-
B.
includesOrganization
Indicates that one entity contains, encompasses, or has within it the specified organization as a component, member, or part.
-
C.
numberOfMemberOrganizations
Indicates the total count of organizations that are members of a given group, association, or umbrella entity.
-
D.
membershipIn
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
E.
mentionsOrganization
Indicates that one entity refers to, cites, or otherwise brings up an organization in its content or communication.
- 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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dc55b5c819084482b735771c9a8 |
completed | March 22, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
Created at: March 22, 2026, 4:18 p.m.