Triple
T6232434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo '70 |
E139387
|
entity |
| Predicate | numberOfInternationalOrganizations |
P69651
|
FINISHED |
| Object | about 4 |
—
|
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: about 4 | Statement: [Expo '70, numberOfInternationalOrganizations, about 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfInternationalOrganizations Context triple: [Expo '70, numberOfInternationalOrganizations, about 4]
-
A.
numberOfMemberOrganizations
Indicates the total count of organizations that are members of a given group, association, or umbrella entity.
-
B.
involvedInternationalOrganization
Indicates that an entity participates in, is affiliated with, or plays a role within an international organization.
-
C.
numberOfNationalSocieties
Indicates the total count of national societies associated with or recognized by a given entity.
-
D.
hasInternationalOrganizationOffice
Indicates that an international organization maintains an official office or physical presence at a given location.
-
E.
hasInternationalOrganizationRole
Indicates that an entity holds or has held a specific role, position, or function within an international organization.
- 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_69c008b0e7ac8190808a59573ee646f3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062ee6f088190bf72692eb8ffb761 |
completed | March 22, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69c05601de6481909d0880048fd7b49a |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c05707d5408190a1d0fd80414ad957 |
completed | March 22, 2026, 8:54 p.m. |
Created at: March 22, 2026, 4:22 p.m.