Triple
T6758275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympia Regional Airport |
E154519
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
OLM
OLM is the three-letter IATA airport code for Olympia Regional Airport in Washington State, USA.
|
E617953
|
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: OLM | Statement: [Olympia Regional Airport, IATAcode, OLM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OLM Context triple: [Olympia Regional Airport, IATAcode, OLM]
-
A.
OLEM
OLEM is a division of the U.S. Environmental Protection Agency responsible for overseeing land preservation, hazardous waste management, and emergency environmental response activities.
-
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.
OLY
OLY is the commonly used abbreviation for Olympiacos FC, a major Greek football club based in Piraeus.
-
E.
OLIN
OLIN is a prominent landscape architecture and urban design firm known for shaping major public spaces and environmentally responsive projects worldwide.
- 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: OLM Triple: [Olympia Regional Airport, IATAcode, OLM]
Generated description
OLM is the three-letter IATA airport code for Olympia Regional Airport in Washington State, USA.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OLM Target entity description: OLM is the three-letter IATA airport code for Olympia Regional Airport in Washington State, USA.
-
A.
OLEM
OLEM is a division of the U.S. Environmental Protection Agency responsible for overseeing land preservation, hazardous waste management, and emergency environmental response activities.
-
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.
OLY
OLY is the commonly used abbreviation for Olympiacos FC, a major Greek football club based in Piraeus.
-
E.
OLIN
OLIN is a prominent landscape architecture and urban design firm known for shaping major public spaces and environmentally responsive projects worldwide.
- 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_69c6880fd5808190be684854081e27dd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1f90b6c8190b4a17a23aa9ba0fb |
completed | March 27, 2026, 6:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712ad568c8190bc82f6149c22273a |
completed | March 27, 2026, 11:28 p.m. |
| NEDg | Description generation | batch_69c713b3accc81908d19c1b00e2c312c |
completed | March 27, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7146413748190b844d9422dce42c2 |
completed | March 27, 2026, 11:36 p.m. |
Created at: March 27, 2026, 2:11 p.m.