Triple

T7835280
Position Surface form Disambiguated ID Type / Status
Subject The Oriental Land Company E181674 entity
Predicate shortName P43 FINISHED
Object OLC
OLC is the commonly used abbreviation for The Oriental Land Company, the Japanese corporation best known for owning and operating the Tokyo Disney Resort.
E696040 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: OLC | Statement: [The Oriental Land Company, shortName, OLC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OLC
Context triple: [The Oriental Land Company, shortName, OLC]
  • A. OLC
    OLC is a division of the U.S. Department of Justice that provides authoritative legal advice to the President and executive branch agencies.
  • B. OLMS
    OLMS is a U.S. Department of Labor agency responsible for promoting transparency, democracy, and financial integrity in labor unions and labor-management relations.
  • C. OOL
    OOL is the IATA airport code for Gold Coast Airport, a major domestic and international gateway serving Queensland’s Gold Coast region in Australia.
  • D. OLBA
    OLBA is the ICAO airport code for Beirut–Rafic Hariri International Airport, the main international gateway to Lebanon.
  • E. Cal OES
    Cal OES is the California state agency responsible for coordinating emergency management, disaster response, and homeland security efforts.
  • 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: OLC
Triple: [The Oriental Land Company, shortName, OLC]
Generated description
OLC is the commonly used abbreviation for The Oriental Land Company, the Japanese corporation best known for owning and operating the Tokyo Disney Resort.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OLC
Target entity description: OLC is the commonly used abbreviation for The Oriental Land Company, the Japanese corporation best known for owning and operating the Tokyo Disney Resort.
  • A. OLC
    OLC is a division of the U.S. Department of Justice that provides authoritative legal advice to the President and executive branch agencies.
  • B. OLMS
    OLMS is a U.S. Department of Labor agency responsible for promoting transparency, democracy, and financial integrity in labor unions and labor-management relations.
  • C. OOL
    OOL is the IATA airport code for Gold Coast Airport, a major domestic and international gateway serving Queensland’s Gold Coast region in Australia.
  • D. OLBA
    OLBA is the ICAO airport code for Beirut–Rafic Hariri International Airport, the main international gateway to Lebanon.
  • E. Cal OES
    Cal OES is the California state agency responsible for coordinating emergency management, disaster response, and homeland security efforts.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb064b872081908e269f4fe1b85436 completed March 30, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5aa3f75881908e5380b5d8f86ea6 completed March 31, 2026, 5:24 a.m.
NEDg Description generation batch_69cb5f1afe0c8190916c7a9b2eab9270 completed March 31, 2026, 5:43 a.m.
NED2 Entity disambiguation (via description) batch_69cb765db28881909ac34071ec6889b3 completed March 31, 2026, 7:23 a.m.
Created at: March 30, 2026, 4:46 p.m.