Triple

T11678026
Position Surface form Disambiguated ID Type / Status
Subject Office of Sustainability and Environment (Seattle) E277541 entity
Predicate shortName P43 FINISHED
Object OSE
OSE is the Seattle city government’s Office of Sustainability and Environment, which leads policies and programs to advance environmental stewardship and climate action.
 E940482 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: OSE | Statement: [Office of Sustainability and Environment (Seattle), shortName, OSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OSE
Context triple: [Office of Sustainability and Environment (Seattle), shortName, OSE]
  • A. OSE
    OSE is the abbreviation for the Osaka Securities Exchange, a major Japanese stock exchange based in Osaka.
  • B. OSE
    OSE is the Oslo Stock Exchange, Norway’s primary securities market for trading shares, bonds, and other financial instruments.
  • C. OS
    OS is the two-letter IATA airline designator assigned to Austrian Airlines, the flag carrier of Austria.
  • D. OS
    OS is the vehicle registration code used on license plates for vehicles registered in Oslo, Norway.
  • E. OS
    OS is the vehicle registration code for the German city of Osnabrück and its surrounding district.
  • 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: OSE
Triple: [Office of Sustainability and Environment (Seattle), shortName, OSE]
Generated description
OSE is the Seattle city government’s Office of Sustainability and Environment, which leads policies and programs to advance environmental stewardship and climate action.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OSE
Target entity description: OSE is the Seattle city government’s Office of Sustainability and Environment, which leads policies and programs to advance environmental stewardship and climate action.
  • A. OSE
    OSE is the abbreviation for the Osaka Securities Exchange, a major Japanese stock exchange based in Osaka.
  • B. OSE
    OSE is the Oslo Stock Exchange, Norway’s primary securities market for trading shares, bonds, and other financial instruments.
  • C. OS
    OS is the two-letter IATA airline designator assigned to Austrian Airlines, the flag carrier of Austria.
  • D. OS
    OS is the vehicle registration code for the German city of Osnabrück and its surrounding district.
  • E. OS
    OS is the vehicle registration code used on license plates for vehicles registered in Oslo, Norway.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a46000a48190888ad1a6ade052e3 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef14007dd08190b60640be9949ca26 completed April 27, 2026, 7:45 a.m.
NEDg Description generation batch_69ef3551b9a88190a9b30bcb2592628b completed April 27, 2026, 10:07 a.m.
NED2 Entity disambiguation (via description) batch_69ef51c17078819083f05036f290ce09 completed April 27, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:40 p.m.