Triple

T34706073
Position Surface form Disambiguated ID Type / Status
Subject Municipality of Salvador E1000507 entity
Predicate hasMunicipalGuard P196257 FINISHED
Object Municipal Guard of Salvador
The Municipal Guard of Salvador is the local law enforcement agency responsible for protecting municipal property, supporting public safety, and assisting in the enforcement of city regulations in Salvador, Brazil.
 E2107262 NE FINISHED

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 Guard of Salvador | Statement: [Municipality of Salvador, hasMunicipalGuard, Municipal Guard of Salvador]
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 Guard of Salvador
Triple: [Municipality of Salvador, hasMunicipalGuard, Municipal Guard of Salvador]
Generated description
The Municipal Guard of Salvador is the local law enforcement agency responsible for protecting municipal property, supporting public safety, and assisting in the enforcement of city regulations in Salvador, Brazil.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMunicipalGuard
Context triple: [Municipality of Salvador, hasMunicipalGuard, Municipal Guard of Salvador]
  • A. hasMunicipalGovernment
    Indicates that an entity is administered or governed by a municipal-level governmental authority.
  • B. hasMunicipalFlag
    Indicates that a municipality possesses an officially recognized flag associated with it.
  • C. hasMunicipalDistrict
    Indicates that an administrative entity includes or is divided into one or more municipal districts as its subordinate units.
  • D. isMunicipal
    Indicates that something belongs to, is administered by, or is characteristic of a municipality or local city government.
  • E. hasMunicipalLevel
    Indicates that an entity is associated with a specific level or tier within a municipal (local government) hierarchy.
  • F. None of above. chosen

Provenance (7 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_69f76dab937881909c86f1b9ad50445f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fe189fec148190aeef51b417ba15b0 completed May 8, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a375309d7d48190ac670b83f15e214f completed June 21, 2026, 2:57 a.m.
NEDg Description generation batch_6a3753f30dd4819086820e53bdc55cd3 completed June 21, 2026, 3:01 a.m.
NED2 Entity disambiguation (via description) batch_6a37545af32c819091e72b243a612ff5 completed June 21, 2026, 3:02 a.m.
PD Predicate disambiguation batch_69fe17285b0881908de7569d8dbd20bd completed May 8, 2026, 5:02 p.m.
PDg Predicate description generation batch_69fe189f2ea48190b8c4718f1353970e completed May 8, 2026, 5:08 p.m.
Created at: May 3, 2026, 3:59 p.m.