Triple
T28618186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Online Responder |
E724318
|
entity |
| Predicate | replacesNeedFor |
P151829
|
FINISHED |
| Object | certificate revocation list downloads |
—
|
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: certificate revocation list downloads | Statement: [Online Responder, replacesNeedFor, certificate revocation list downloads]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacesNeedFor Context triple: [Online Responder, replacesNeedFor, certificate revocation list downloads]
-
A.
seeksToReplace
Indicates an intention or effort by one entity to take over the role, function, or position currently held by another entity.
-
B.
replacedBecause
Indicates that one entity has been substituted for another specifically due to a particular reason or cause.
-
C.
replacedWith
Indicates that one entity has been substituted or superseded by another entity, taking over its role, function, or position.
-
D.
replacesOrAlternativesTo
chosen
Indicates that one entity serves as a substitute for, or an alternative option to, another entity, potentially taking its place or offering a different choice.
-
E.
replacesInPractice
Indicates that one entity has effectively taken over the role, function, or use of another entity in real-world application or usage.
- 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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 28, 2026, 4:32 a.m.