Triple

T26433167
Position Surface form Disambiguated ID Type / Status
Subject Municipal Government of Maceió E664565 entity
Predicate legislativeBody P239 FINISHED
Object Municipal Chamber of Maceió
The Municipal Chamber of Maceió is the city’s legislative council responsible for creating, debating, and approving local laws and overseeing the municipal executive branch.
E1733421 NE 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: Municipal Chamber of Maceió | Statement: [Municipal Government of Maceió, legislativeBody, Municipal Chamber of Maceió]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Municipal Chamber of Maceió
Triple: [Municipal Government of Maceió, legislativeBody, Municipal Chamber of Maceió]
Generated description
The Municipal Chamber of Maceió is the city’s legislative council responsible for creating, debating, and approving local laws and overseeing the municipal executive branch.

Provenance (5 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_69ee883ad6a4819088f918e76122d690 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6120f7a6c819084fadc26e1aec58d completed May 2, 2026, 3:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11ec036ee08190b67b531540482502 completed May 23, 2026, 6:03 p.m.
NEDg Description generation batch_6a11ec8332b881909bae57bbd3e8aa2f completed May 23, 2026, 6:05 p.m.
NED2 Entity disambiguation (via description) batch_6a11ed1b4de08190b89a939e6898e7b5 completed May 23, 2026, 6:08 p.m.
Created at: April 26, 2026, 11:51 p.m.