Triple
T287295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Domain Name System root zone |
E5910
|
entity |
| Predicate | hasDistributionMethod |
P1486
|
FINISHED |
| Object | anycast for root name servers |
—
|
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: anycast for root name servers | Statement: [Domain Name System root zone, hasDistributionMethod, anycast for root name servers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistributionMethod Context triple: [Domain Name System root zone, hasDistributionMethod, anycast for root name servers]
-
A.
distributionMethod
chosen
Indicates the means or channel through which something (such as a product, resource, or information) is delivered or made available to recipients.
-
B.
hasRetailFormat
Indicates that one entity operates or is organized according to a particular retail format or store type.
-
C.
distributor
Indicates that an entity is responsible for supplying, delivering, or making another entity’s products or materials available to others.
-
D.
hasProofMethod
Indicates that there exists a specific method or technique used to establish or demonstrate the validity of something (such as a statement, claim, or theorem).
-
E.
hasNumberOfDrops
Indicates the quantity or count of drops associated with an entity or event.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e2ddaa88190b08c40b5823f30a0 |
completed | Feb. 28, 2026, 3:17 a.m. |
| PD | Predicate disambiguation | batch_69a25b7c1448819082064f474633acd5 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.