Triple
T264738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject |
E5698
|
entity | |
| Predicate | registrationRequired |
P3328
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [LinkedIn, registrationRequired, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: registrationRequired Context triple: [LinkedIn, registrationRequired, true]
-
A.
register
chosen
Indicates that an entity formally records or enrolls another entity or itself in an official system, list, or record.
-
B.
requires
Indicates that one entity must exist, occur, or be satisfied before another entity can exist, occur, or be carried out.
-
C.
inscription
Indicates that text has been written, carved, or engraved onto a surface or object.
-
D.
requiresPermitFor
Indicates that one entity must obtain formal permission or authorization before performing an action involving another entity.
-
E.
registrationPrefix
Indicates that an entity has a specific registration prefix code assigned to it as part of its official registration or identification.
- 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_69a2587daeb081909591b9d30f80a271 |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25d8f9bbc8190a13841e4de093a66 |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b6e07748190834022a65ba6d803 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:56 a.m.