Triple
T20710350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .nz |
E509019
|
entity |
| Predicate | sponsoringRegistrarModel |
P104549
|
FINISHED |
| Object | multiple accredited registrars |
—
|
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 accredited registrars | Statement: [.nz, sponsoringRegistrarModel, multiple accredited registrars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sponsoringRegistrarModel Context triple: [.nz, sponsoringRegistrarModel, multiple accredited registrars]
-
A.
sponsoredNameHolder
Indicates that one entity holds or uses a name or title under the sponsorship or endorsement of another entity.
-
B.
registrantCode
Indicates the unique code assigned to a registrant that identifies them within a registration or cataloging system.
-
C.
hasRegistrar
Indicates that an entity is formally recorded or overseen by a specific registrar organization or authority.
-
D.
sponsoringAgency
Indicates that one entity serves as the sponsoring agency that provides support, backing, or authorization for another entity or activity.
-
E.
supportsInternationalRegistrars
chosen
Indicates that an entity is compatible with and provides services for registrars operating in multiple countries or international markets.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1974ba08190b0e5ad529be95e4c |
completed | April 21, 2026, 12:15 a.m. |
| PD | Predicate disambiguation | batch_69e5c044d1108190b2b5d25de23f6401 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:14 p.m.