Triple
T35140307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IOM Member States |
E1014685
|
entity |
| Predicate | acquireMembershipBy |
P182325
|
FINISHED |
| Object | accession to the IOM Constitution |
—
|
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: accession to the IOM Constitution | Statement: [IOM Member States, acquireMembershipBy, accession to the IOM Constitution]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acquireMembershipBy Context triple: [IOM Member States, acquireMembershipBy, accession to the IOM Constitution]
-
A.
confersMembershipIn
Indicates that one entity grants or bestows membership status in a group, organization, or category upon another entity.
-
B.
membershipBy
Indicates that one entity holds membership or belongs to a group, organization, or collection defined by another entity.
-
C.
membershipIn
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
D.
membershipRecordedBy
Indicates that the recording or documentation of a membership was carried out or created by a specific agent or system.
-
E.
clubMembership
Indicates that an entity belongs to, is enrolled in, or holds membership status within a particular club.
- 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_69f76dd9c1848190af70d4882a2c1ad7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b9106008190930b3b3675b737d6 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78c337cec8190bfdab225a3cc96db |
completed | May 3, 2026, 5:56 p.m. |
Created at: May 3, 2026, 4:02 p.m.