Triple
T5231862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CFP franc |
E118129
|
entity |
| Predicate | previousPeg |
P62526
|
FINISHED |
| Object | French franc |
—
|
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: French franc | Statement: [CFP franc, previousPeg, French franc]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousPeg Context triple: [CFP franc, previousPeg, French franc]
-
A.
previousHome
Indicates that one entity served as a former or prior residence or home of another entity.
-
B.
previousGround
Indicates that one entity is the immediately preceding ground or surface state relative to another in a sequence or progression.
-
C.
previousCircuit
Indicates that one circuit occurs or is positioned immediately before another circuit in a defined sequence or ordering.
-
D.
previousPost
Indicates that one post directly precedes another in a sequence or ordered list of posts.
-
E.
previousSymbol
Indicates that one symbol directly precedes another symbol in a defined sequence or ordering.
- 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_69bd4466fb8c819083b806a79414d7e4 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b0223148190be88d737c25d60d7 |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77bf1ef08190bb3487b3f3ee088c |
completed | March 20, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_69bd7aff0244819085c4799793ed0185 |
completed | March 20, 2026, 4:51 p.m. |
Created at: March 20, 2026, 1:49 p.m.