Triple
T1907819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ARIN |
E38041
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object | Number Resource Organization |
E195202
|
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: Number Resource Organization | Statement: [ARIN, parentOrganization, Number Resource Organization]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Number Resource Organization Context triple: [ARIN, parentOrganization, Number Resource Organization]
-
A.
Number Resource Organization
chosen
The Number Resource Organization (NRO) is a coordinating body that represents and unites the world’s Regional Internet Registries in managing and developing global Internet number resources.
-
B.
Numbers
Numbers is the fourth book of the Hebrew Bible and the Christian Old Testament, recounting the Israelites’ wilderness wanderings and organizing laws and censuses.
-
C.
Numbers
Numbers is Apple's spreadsheet application for macOS and iOS, used to create, analyze, and visualize data in tables and charts.
-
D.
Namesys
Namesys was a software company best known for developing the ReiserFS journaling file system for Linux.
-
E.
Numbers series
Numbers series is a set of iconic numeral-themed artworks by American pop artist Robert Indiana, reflecting his bold graphic style and interest in language and symbolism.
- 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_69a8862a26088190aae5243695aeefc0 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1b44174819084fa06faf1930221 |
completed | March 7, 2026, 5:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3d2b4848190aef80d6b42b3b64a |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.