Triple
T5752045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbieland |
E126875
|
entity |
| Predicate | hasSocietyType |
P3292
|
FINISHED |
| Object | idealized society |
—
|
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: idealized society | Statement: [Barbieland, hasSocietyType, idealized society]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSocietyType Context triple: [Barbieland, hasSocietyType, idealized society]
-
A.
hasAffiliationType
Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
-
B.
hasCommunityType
chosen
Indicates that an entity is associated with or classified under a particular type or category of community.
-
C.
hasTypeOfOrganization
Indicates that an entity is classified as belonging to a particular type or category of organization.
-
D.
containsOrganizationType
Indicates that an entity includes or is associated with an organization of a specified organizational type (e.g., company, nonprofit, government agency).
-
E.
hasPartnershipType
Indicates the specific kind or category of partnership relationship that exists between entities.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:48 p.m.