Triple
T5533470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uniform Domain Name Dispute Resolution Policy |
E145103
|
entity |
| Predicate | definesBadFaithFactors |
P4922
|
FINISHED |
| Object | pattern of preventing trademark owners from reflecting their marks in corresponding domain names |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: pattern of preventing trademark owners from reflecting their marks in corresponding domain names | Statement: [Uniform Domain Name Dispute Resolution Policy, definesBadFaithFactors, pattern of preventing trademark owners from reflecting their marks in corresponding domain names]
Provenance (2 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c021d76e4081908570dc34217c66fe |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:34 p.m.