Triple
T23400500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | municipal government of Sousa |
E559490
|
entity |
| Predicate | administers |
P123
|
FINISHED |
| Object | municipal public services of Sousa |
—
|
NE NERFINISHED |
How this triple was built (3 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: municipal public services of Sousa | Statement: [municipal government of Sousa, administers, municipal public services of Sousa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: municipal public services of Sousa Context triple: [municipal government of Sousa, administers, municipal public services of Sousa]
-
A.
municipal government of Sousa
The municipal government of Sousa is the local public administration responsible for managing city services, implementing policies, and overseeing development within the municipality of Sousa.
-
B.
Municipal government of Suzano
The Municipal government of Suzano is the local public administration responsible for managing city services, implementing policies, and overseeing development within the municipality of Suzano, Brazil.
-
C.
Municipal government of Sorocaba
The Municipal government of Sorocaba is the local public administration responsible for managing the city’s services, policies, and development in Sorocaba, Brazil.
-
D.
municipal government of Sobral
The municipal government of Sobral is the local public administration responsible for managing services, policies, and development within the city of Sobral, Brazil.
-
E.
Municipal government of São Carlos
The Municipal government of São Carlos is the local public administration responsible for managing the city’s executive and legislative functions, public services, and urban development policies.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: municipal public services of Sousa Target entity description: The municipal public services of Sousa comprise the local government-run utilities and community services—such as sanitation, water, infrastructure maintenance, and public facilities—provided to residents of the city of Sousa.
-
A.
municipal government of Sousa
chosen
The municipal government of Sousa is the local public administration responsible for managing city services, implementing policies, and overseeing development within the municipality of Sousa.
-
B.
Municipal government of Suzano
The Municipal government of Suzano is the local public administration responsible for managing city services, implementing policies, and overseeing development within the municipality of Suzano, Brazil.
-
C.
Municipal government of Sorocaba
The Municipal government of Sorocaba is the local public administration responsible for managing the city’s services, policies, and development in Sorocaba, Brazil.
-
D.
municipal government of Sobral
The municipal government of Sobral is the local public administration responsible for managing services, policies, and development within the city of Sobral, Brazil.
-
E.
Municipal government of São Carlos
The Municipal government of São Carlos is the local public administration responsible for managing the city’s executive and legislative functions, public services, and urban development policies.
- F. None of above.
Provenance (2 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dedfcc8190ab93cec3c3d15c53 |
completed | April 29, 2026, 6:27 a.m. |
Created at: April 17, 2026, 5:37 p.m.