Triple
T27021039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guzmán de Alfarache |
E680661
|
entity |
| Predicate | socialStrataDepicted |
P8198
|
FINISHED |
| Object | lower classes of Spain |
—
|
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: lower classes of Spain | Statement: [Guzmán de Alfarache, socialStrataDepicted, lower classes of Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialStrataDepicted Context triple: [Guzmán de Alfarache, socialStrataDepicted, lower classes of Spain]
-
A.
socialStance
Indicates the attitude, position, or orientation one entity holds toward another in a social context.
-
B.
socialComposition
chosen
Indicates the makeup or distribution of different social groups or categories within a population or community.
-
C.
socialType
Indicates the category or nature of a social relationship or interaction that exists between entities.
-
D.
socialSphere
Indicates the social environment or network within which an entity regularly interacts or maintains relationships.
-
E.
socialOrganizationCharacterization
Indicates how an entity is characterized in terms of its social organization, such as its structure, hierarchy, or social grouping.
- 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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 27, 2026, 7:08 a.m.