Triple
T30633739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AKB48 |
E779777
|
entity |
| Predicate | memberStructure |
P24844
|
FINISHED |
| Object | teams |
—
|
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: teams | Statement: [AKB48, memberStructure, teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: memberStructure Context triple: [AKB48, memberStructure, teams]
-
A.
membershipStructure
chosen
Indicates the organizational or hierarchical arrangement that defines how members are grouped, related, and governed within a collective or system.
-
B.
partnerStructure
Indicates a relationship where one entity is organized, configured, or structured in coordination with, or as a counterpart to, another entity in a partnership context.
-
C.
memberEntities
Indicates that certain entities belong to, or are included as members within, a larger group or collection.
-
D.
usesStructureMember
Indicates that one entity accesses or relies on a specific member (field, method, or component) of a structured entity (such as a record, object, or data structure).
-
E.
branchStructure
Indicates how the parts of a branching system are organized and connected relative to one another.
- 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_69f224a431548190a44ad9d088dbf91f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: April 29, 2026, 8:28 p.m.