Triple
T32734309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | INTERPOL Constitution |
E837033
|
entity |
| Predicate | organizationShortName |
P178715
|
FINISHED |
| Object | INTERPOL |
—
|
NE NERFINISHED |
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: INTERPOL | Statement: [INTERPOL Constitution, organizationShortName, INTERPOL]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizationShortName Context triple: [INTERPOL Constitution, organizationShortName, INTERPOL]
-
A.
relatedOrganizationAbbreviation
Indicates that one organization is associated with another through a specific abbreviated form of its name or title.
-
B.
nameShort
chosen
Indicates that an entity has a shortened or abbreviated version of its full name.
-
C.
organizationName
Indicates that an entity has a specific official name as an organization.
-
D.
parentOrganizationAbbreviation
Indicates that the object is the abbreviated name or acronym of the subject’s parent organization.
-
E.
organizationAcronym
Indicates that an organization is known or referred to by a specific acronym.
- 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_69f34935fb048190ad4967420581f835 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 1, 2026, 1:11 a.m.