Triple

T4955209
Position Surface form Disambiguated ID Type / Status
Subject Osaka Securities Exchange E111264 entity
Predicate hasAbbreviation P43 FINISHED
Object OSE
OSE is the abbreviation for the Osaka Securities Exchange, a major Japanese stock exchange based in Osaka.
 E482577 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: [Osaka Securities Exchange, hasAbbreviation, OSE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: OSE
Context triple: [Osaka Securities Exchange, hasAbbreviation, OSE]
  • A. OS
    OS is the two-letter IATA airline designator assigned to Austrian Airlines, the flag carrier of Austria.
  • B. OS
    OS is the vehicle registration code for the German city of Osnabrück and its surrounding district.
  • C. OSSE
    OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
  • D. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • E. OSDL
    OSDL (Open Source Development Labs) was a nonprofit organization that supported and promoted the development and adoption of the Linux operating system, particularly in enterprise environments.
  • 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: [Osaka Securities Exchange, hasAbbreviation, OSE]
Generated description
OSE is the abbreviation for the Osaka Securities Exchange, a major Japanese stock exchange based in Osaka.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: OSE
Target entity description: OSE is the abbreviation for the Osaka Securities Exchange, a major Japanese stock exchange based in Osaka.
  • A. OS
    OS is the two-letter IATA airline designator assigned to Austrian Airlines, the flag carrier of Austria.
  • B. OS
    OS is the vehicle registration code for the German city of Osnabrück and its surrounding district.
  • C. OSSE
    OSSE is the District of Columbia’s state education agency responsible for overseeing public education policies, programs, and accountability across the city.
  • D. OSO
    OSO is the commonly used abbreviation for the Office of SIGINT Operations, a signals intelligence unit within the U.S. National Security Agency.
  • E. OSDL
    OSDL (Open Source Development Labs) was a nonprofit organization that supported and promoted the development and adoption of the Linux operating system, particularly in enterprise environments.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71babb44819085b4cd4864433e79 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81da92b48190ab41ad8f7a891544 completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be8488df2c8190af86f34c5589a62a completed March 21, 2026, 11:44 a.m.
NED2 Entity disambiguation (via description) batch_69be84f6d8988190b79646f063ed0567 completed March 21, 2026, 11:45 a.m.
Created at: March 20, 2026, 1:32 p.m.