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.