Triple

T21161523
Position Surface form Disambiguated ID Type / Status
Subject Oceaneering International, Inc. E521452 entity
Predicate tradesUnder P35294 FINISHED
Object OII 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: OII | Statement: [Oceaneering International, Inc., tradesUnder, OII]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OII
Context triple: [Oceaneering International, Inc., tradesUnder, OII]
  • A. OII chosen
    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.
  • B. 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.
  • C. OIIE
    OIIE is the ICAO airport code for Tehran Imam Khomeini International Airport, the main international gateway serving Iran’s capital.
  • D. OIA
    OIA is a common acronym for an Office of International Affairs, typically a governmental or institutional body that manages international relations, partnerships, and global programs.
  • E. OIOS
    OIOS is the United Nations’ internal oversight body responsible for auditing, investigating, and evaluating the organization’s operations to ensure accountability and efficiency.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72530e3388190a170c5a2a19dadfc completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.