Triple
T3959446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | .na |
E85864
|
entity |
| Predicate | registry |
P86
|
FINISHED |
| Object | NaNIC |
E402129
|
NE 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: NaNIC | Statement: [.na, registry, NaNIC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NaNIC Context triple: [.na, registry, NaNIC]
-
A.
NaNIC
chosen
NaNIC is an organization or initiative that sponsors the .na country-code top-level domain for Namibia.
-
B.
NIA
NIA is India’s premier federal counter-terrorism and national security investigation agency.
-
C.
NIA
NIA is a U.S. federal research institute within the National Institutes of Health that focuses on understanding aging and age-related diseases, including Alzheimer’s disease.
-
D.
Nicado
Nicado is a Spanish-language surname most notably borne by Cuban mathematician and academic leader Miriam Nicado García.
-
E.
Naristi
The Naristi were an ancient Germanic tribe known primarily from Roman sources as neighbors of the Marcomanni in Central Europe.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef95ef8988190ba504cdfc217c4fa |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53fff53b88190a268c90889f7b5b6 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:31 p.m.