Triple
T35857930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inspector-General |
E1036558
|
entity |
| Predicate | isOftenMemberOf |
P27891
|
FINISHED |
| Object | national security council |
—
|
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: national security council | Statement: [Inspector-General, isOftenMemberOf, national security council]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenMemberOf Context triple: [Inspector-General, isOftenMemberOf, national security council]
-
A.
membershipIn
chosen
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
B.
isFrequentAmong
Indicates that something occurs with relatively high frequency within a specified group or set.
-
C.
impliesMembershipIn
Indicates that one entity logically entails or asserts that another entity belongs to a particular group, set, or category.
-
D.
membershipConsistsOf
Indicates that a membership is composed of, or includes, specific member entities as its constituents.
-
E.
hasMemberOrganizationsIn
Indicates that an entity includes or comprises member organizations that are located in or associated with a specified place or region.
- 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_69f76e1b4aa481909630373171eb5ec6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:06 p.m.