Triple

T29907584
Position Surface form Disambiguated ID Type / Status
Subject Complexo do Alemão E759580 entity
Predicate hasSecurityForcePresence P14275 FINISHED
Object Military Police of Rio de Janeiro State NE NERFINISHED

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: Military Police of Rio de Janeiro State | Statement: [Complexo do Alemão, hasSecurityForcePresence, Military Police of Rio de Janeiro State]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSecurityForcePresence
Context triple: [Complexo do Alemão, hasSecurityForcePresence, Military Police of Rio de Janeiro State]
  • A. hasSecurityTeam
    Indicates that an entity is supported or protected by a designated security team responsible for its safety or security operations.
  • B. hasSecurityPresence
    Indicates that some form of security personnel, system, or measures are present at or associated with an entity or location.
  • C. policePresence
    Indicates that law enforcement officers are present at or monitoring a particular location, event, or situation.
  • D. hasMilitaryPresence chosen
    Indicates that a military force is present in, stationed at, or operating within a particular location or entity.
  • E. hasHighSecurityFacility
    Indicates that an entity possesses or operates a facility characterized by a high level of security measures and protections.
  • 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_69f224600590819085e148a01c056ef6 completed April 29, 2026, 3:31 p.m.
NER Named-entity recognition batch_69fe766490c081908c49c8cc07d0ae9b completed May 8, 2026, 11:48 p.m.
PD Predicate disambiguation batch_69fe75bb5f4481908572a5ffcbdc5154 completed May 8, 2026, 11:46 p.m.
Created at: April 29, 2026, 6:09 p.m.