Triple
T5363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US dollar |
E105
|
entity |
| Predicate | denominationsInclude |
P514
|
FINISHED |
| Object | $1 |
—
|
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: $1 | Statement: [US dollar, denominationsInclude, $1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denominationsInclude Context triple: [US dollar, denominationsInclude, $1]
-
A.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
B.
formerReligiousAffiliation
Indicates that an entity previously adhered to a particular religion or religious denomination but no longer does so.
-
C.
hasNumberOfMemberInstitutions
Indicates the quantitative count of member institutions associated with a given entity.
-
D.
supportsDiscipline
Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
-
E.
charteredIn
Indicates that an organization or entity has been formally established, authorized, or incorporated within a specified jurisdiction or location.
- 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_69a238d6b47881909e68288aed2fd858 |
completed | Feb. 28, 2026, 12:37 a.m. |
| NER | Named-entity recognition | batch_69a23c24b3d08190a714126292fd5479 |
completed | Feb. 28, 2026, 12:51 a.m. |
| PD | Predicate disambiguation | batch_69a23998af288190855f0456740cbd51 |
completed | Feb. 28, 2026, 12:40 a.m. |
| PDg | Predicate description generation | batch_69a23c23fef88190ba5d6d86acd4a66f |
completed | Feb. 28, 2026, 12:51 a.m. |
Created at: Feb. 28, 2026, 12:40 a.m.