Triple

T17283318
Position Surface form Disambiguated ID Type / Status
Subject Detroit Buildings, Safety Engineering and Environmental Department E419586 entity
Predicate abbreviation P43 FINISHED
Object BSEED
BSEED is a Detroit city department responsible for enforcing building, safety, and environmental regulations to protect public health and ensure code compliance.
 E1260255 NE FINISHED

How this triple was built (4 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: BSEED | Statement: [Detroit Buildings, Safety Engineering and Environmental Department, abbreviation, BSEED]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BSEED
Context triple: [Detroit Buildings, Safety Engineering and Environmental Department, abbreviation, BSEED]
  • A. Bessa
    Bessa was an ancient Greek city located in the region of Opuntian Locris in central Greece.
  • B. Banzebi
    Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
  • C. Seirah
    Seirah is a biblical location mentioned in the Hebrew Bible as a place of refuge associated with the judge Ehud.
  • D. Bamus
    Bamus is a stratovolcano located on the island of New Britain in Papua New Guinea, near the more prominent Ulawun volcano.
  • E. Seir
    Seir is a mountainous region in Edom, traditionally associated with the Horites and later the descendants of Esau in the Hebrew Bible.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: BSEED
Triple: [Detroit Buildings, Safety Engineering and Environmental Department, abbreviation, BSEED]
Generated description
BSEED is a Detroit city department responsible for enforcing building, safety, and environmental regulations to protect public health and ensure code compliance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BSEED
Target entity description: BSEED is a Detroit city department responsible for enforcing building, safety, and environmental regulations to protect public health and ensure code compliance.
  • A. Bessa
    Bessa was an ancient Greek city located in the region of Opuntian Locris in central Greece.
  • B. Banzebi
    Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
  • C. Seirah
    Seirah is a biblical location mentioned in the Hebrew Bible as a place of refuge associated with the judge Ehud.
  • D. Bamus
    Bamus is a stratovolcano located on the island of New Britain in Papua New Guinea, near the more prominent Ulawun volcano.
  • E. Seir
    Seir is a mountainous region in Edom, traditionally associated with the Horites and later the descendants of Esau in the Hebrew Bible.
  • F. None of above. chosen

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_69d886da626481908a14ce7830329a35 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e4332b19f481908acfa88b2f57c5dc completed April 19, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0179535ae08190ac0137d0f8741919 completed May 11, 2026, 6:38 a.m.
NEDg Description generation batch_6a0179e161808190b4d865e6e281489c completed May 11, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_6a017aaf88a48190a85b9a3d7ff30b97 completed May 11, 2026, 6:43 a.m.
Created at: April 10, 2026, 5:40 a.m.