Triple
T9312993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C-root |
E224048
|
entity |
| Predicate | hasRedundancy |
P51510
|
FINISHED |
| Object | multiple anycast instances |
—
|
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: multiple anycast instances | Statement: [C-root, hasRedundancy, multiple anycast instances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRedundancy Context triple: [C-root, hasRedundancy, multiple anycast instances]
-
A.
supportsRedundancy
chosen
Indicates that one entity provides or enables backup or failover capabilities for another to ensure continued operation if a primary component fails.
-
B.
hasReduplication
Indicates that an element involves repetition of a segment, syllable, or word (in whole or in part) as a systematic pattern.
-
C.
hasRepetition
Indicates that something occurs, appears, or is performed more than once, showing recurrence or repeated instances within a given context.
-
D.
usesRepetition
Indicates that one entity employs repeated elements, actions, or patterns as a deliberate feature or technique in relation to another entity or context.
-
E.
hasDuplicationFormula
Indicates that there exists a specific rule or formula describing how something is duplicated or replicated from an original.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20b048a081909fd7ec0b6b863063 |
completed | April 1, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:37 p.m.