Triple
T9312942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B-root |
E224047
|
entity |
| Predicate | numberOfRootServers |
P88024
|
FINISHED |
| Object | 13 logical root 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: 13 logical root servers | Statement: [B-root, numberOfRootServers, 13 logical root servers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRootServers Context triple: [B-root, numberOfRootServers, 13 logical root servers]
-
A.
numberOfHosts
Indicates the total count of distinct hosts associated with or involved in a given entity or event.
-
B.
whoisServer
Indicates that one entity functions as the WHOIS server responsible for providing registration and ownership information about another entity (typically a domain or IP resource).
-
C.
numberOfSatellites
Indicates the quantity of satellites that are associated with or orbit a given entity.
-
D.
numberOfDomes
Indicates the quantity of domes that an entity possesses or is associated with.
-
E.
numberOfTerminals
Indicates the total count of terminal points or endpoints associated with an entity.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd20ae96e481909a1af9ea1c91f2b2 |
completed | April 1, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69cc7a61e9a4819096eb014f3791ef2e |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc955a38108190b602d1e73725f11b |
completed | April 1, 2026, 3:47 a.m. |
Created at: March 30, 2026, 7:37 p.m.