Triple

T23197245
Position Surface form Disambiguated ID Type / Status
Subject Owens-Illinois E579904 entity
Predicate abbreviation P43 FINISHED
Object O-I
O-I is a major American manufacturer specializing in glass containers and packaging for the food and beverage industry.
 E1575360 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: O-I | Statement: [Owens-Illinois, abbreviation, O-I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: O-I
Context triple: [Owens-Illinois, abbreviation, O-I]
  • A. OIOI
    OIOI is a Japanese department store and retail brand operated by the Marui Group, known for its fashion-focused shopping complexes in urban areas.
  • B. OIIE
    OIIE is the ICAO airport code for Tehran Imam Khomeini International Airport, the main international gateway serving Iran’s capital.
  • C. OII
    OII is the stock ticker symbol for Oceaneering International, an engineering and applied technology company specializing in subsea services and products for the offshore energy industry.
  • D. I2O
    I2O is the acronym for DARPA’s Information Innovation Office, which focuses on advancing cutting-edge information science and technology for national security.
  • E. Ōi
    Ōi is a town in Kanagawa Prefecture, Japan, known for its residential communities and proximity to the city of Hadano.
  • 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: O-I
Triple: [Owens-Illinois, abbreviation, O-I]
Generated description
O-I is a major American manufacturer specializing in glass containers and packaging for the food and beverage industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: O-I
Target entity description: O-I is a major American manufacturer specializing in glass containers and packaging for the food and beverage industry.
  • A. OIOI
    OIOI is a Japanese department store and retail brand operated by the Marui Group, known for its fashion-focused shopping complexes in urban areas.
  • B. OIIE
    OIIE is the ICAO airport code for Tehran Imam Khomeini International Airport, the main international gateway serving Iran’s capital.
  • C. OII
    OII is the stock ticker symbol for Oceaneering International, an engineering and applied technology company specializing in subsea services and products for the offshore energy industry.
  • D. I2O
    I2O is the acronym for DARPA’s Information Innovation Office, which focuses on advancing cutting-edge information science and technology for national security.
  • E. Ōi
    Ōi is a town in Kanagawa Prefecture, Japan, known for its residential communities and proximity to the city of Hadano.
  • 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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fdc0b8081909242fdc5cb1da517 completed April 29, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30bebfe48190944c0933ea100b11 completed May 19, 2026, 9:43 a.m.
NEDg Description generation batch_6a0c330135cc8190b5a0e512bda6277d completed May 19, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_6a0c375dd5a4819097a80ae43a1c4442 completed May 19, 2026, 10:11 a.m.
Created at: April 17, 2026, 4:06 p.m.