Triple
T8376996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Group on Earth Observations |
E197600
|
entity |
| Predicate | approximateNumberOfParticipatingOrganizations |
P21800
|
FINISHED |
| Object | over 100 |
—
|
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 | Statement: [Group on Earth Observations, approximateNumberOfParticipatingOrganizations, over 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateNumberOfParticipatingOrganizations Context triple: [Group on Earth Observations, approximateNumberOfParticipatingOrganizations, over 100]
-
A.
numberOfMemberOrganizations
chosen
Indicates the total count of organizations that are members of a given group, association, or umbrella entity.
-
B.
numberOfResidentOrganizations
Indicates the total count of organizations that are based in or operate from a particular place or entity.
-
C.
numberOfNGOsRepresented
Indicates the count of distinct non-governmental organizations that are represented in a given context or entity.
-
D.
numberOfParticipants
Indicates the total count of entities involved in a particular event, activity, or relationship.
-
E.
involvedOrganizations
Indicates that there is a participation or engagement relationship between an entity and one or more organizations in the context of a specific event, activity, or project.
- 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_69ca82f64c188190af4e1608036b865d |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb80c094908190afe9cc54ce4f4d58 |
completed | March 31, 2026, 8:07 a.m. |
| PD | Predicate disambiguation | batch_69cb70cd04b08190ab5f72afd22a7967 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:02 p.m.