Triple
T26232547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sertão of Alagoas |
E656073
|
entity |
| Predicate | historicalProfile |
P181392
|
FINISHED |
| Object | predominantly rural |
—
|
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: predominantly rural | Statement: [Sertão of Alagoas, historicalProfile, predominantly rural]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalProfile Context triple: [Sertão of Alagoas, historicalProfile, predominantly rural]
-
A.
historicalFigureProfiled
Indicates that a historical figure is the subject of a detailed account, study, or portrayal describing their life, actions, and significance.
-
B.
historicalPoliticalProfile
Indicates a relationship where an entity’s political roles, positions, and activities are characterized within their historical context.
-
C.
historicalPeople
Indicates that the related entities are people who lived in or are associated with a past historical period or context.
-
D.
historicalFigure
Indicates that an entity is recognized as a notable person from the past who played a significant role in history.
-
E.
historicalPeopleCenter
Indicates a relationship where a center, institution, or focal point is dedicated to, focused on, or primarily concerned with historical people.
- F. None of above. chosen
Provenance (4 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_69ee5b4b8b408190993da38c0067cc8d |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
| PDg | Predicate description generation | batch_69f77648979c8190b6cdbb835ab8987c |
completed | May 3, 2026, 4:22 p.m. |
Created at: April 26, 2026, 9 p.m.