Triple
T4771347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | hertz |
E105932
|
entity |
| Predicate | replacesSymbol |
P34989
|
FINISHED |
| Object | cps |
—
|
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: cps | Statement: [hertz, replacesSymbol, cps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacesSymbol Context triple: [hertz, replacesSymbol, cps]
-
A.
replacedWith
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
B.
replacesWord
Indicates that one word is substituted for another word in a given context or expression.
-
C.
replacementName
Indicates that one entity serves as a substitute or successor name for another entity, effectively replacing the original designation.
-
D.
replacedCurrencySymbol
chosen
Indicates that one currency symbol has been substituted or superseded by another in a given context.
-
E.
replacesComponentOf
Indicates that one entity takes the place of a specific component within another entity, substituting for that component in its role or function.
- 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_69bd43f226fc8190b867cc249c2a9042 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd655e5dcc8190a932be9b1baaffb2 |
completed | March 20, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69bd6229d8448190a271719e5e30fd82 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:21 p.m.