Triple
T7223732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. chambers of commerce abroad |
E150324
|
entity |
| Predicate | hasTypicalMember |
P2776
|
FINISHED |
| Object | U.S. companies operating overseas |
—
|
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: U.S. companies operating overseas | Statement: [U.S. chambers of commerce abroad, hasTypicalMember, U.S. companies operating overseas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalMember Context triple: [U.S. chambers of commerce abroad, hasTypicalMember, U.S. companies operating overseas]
-
A.
hasMembers
Indicates that a group, organization, or collection includes certain entities as its members.
-
B.
typicalMembers
chosen
Indicates that the related entities are representative or characteristic members of a larger group, category, or class.
-
C.
hasCoreMember
Indicates that an entity includes another entity as a central or primary member of its group, organization, or structure.
-
D.
hasMemberType
Indicates that an entity includes or is associated with members belonging to a specified type or category.
-
E.
hasMemberFrom
Indicates that a group, organization, or collection includes at least one member originating from or belonging to a specified source, place, or category.
- 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_69c687effb44819092b95d07d0368c9f |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e9db51888190b8463d0003f334fa |
completed | March 27, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69c6e761b7fc8190857794d78af1b468 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:54 p.m.