Triple
T29115986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Wikibooks |
E737044
|
entity |
| Predicate | accountSystem |
P31941
|
FINISHED |
| Object | single user login with other Wikimedia projects |
—
|
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: single user login with other Wikimedia projects | Statement: [English Wikibooks, accountSystem, single user login with other Wikimedia projects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accountSystem Context triple: [English Wikibooks, accountSystem, single user login with other Wikimedia projects]
-
A.
userSystem
Indicates a relationship where a user interacts with, accesses, or is associated with a particular system.
-
B.
authenticationSystem
chosen
Indicates that an entity functions as or is associated with a system responsible for verifying identities and controlling access.
-
C.
registrationSystem
Indicates a system or process responsible for recording, managing, and maintaining registrations or enrollments for entities.
-
D.
accountType
Indicates the specific category or classification of an account within a system or context.
-
E.
quotaSystem
Indicates a system in which fixed numerical limits or allocations are set for certain actions, resources, or participants.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f661f072d88190af4b4be6ccc30917 |
completed | May 2, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
Created at: April 28, 2026, 11:22 a.m.