Triple
T17935763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cattaraugus County-Olean Airport |
E448461
|
entity |
| Predicate | IATA code |
P2569
|
FINISHED |
| Object |
OLE
OLE is the three-letter IATA airport code assigned to Cattaraugus County-Olean Airport in New York, United States.
|
E1296738
|
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: OLE | Statement: [Cattaraugus County-Olean Airport, IATA code, OLE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OLE Context triple: [Cattaraugus County-Olean Airport, IATA code, OLE]
-
A.
OLE
OLE (Object Linking and Embedding) is a Microsoft technology that enables embedding and linking to documents and other objects within different applications, forming a foundation for later component technologies like ActiveX.
-
B.
OL
OL is a UK postcode area covering Oldham and surrounding parts of Greater Manchester and nearby regions in North West England.
-
C.
OL
OL is the IATA airline designator assigned to Samoa Airways, the national carrier of Samoa.
-
D.
OL
OL is the commonly used abbreviation for Olympique Lyonnais, a major French football club best known internationally for its highly successful women's team.
-
E.
OL
OL is the official abbreviation for the Order of Luthuli, a South African national honor awarded for exceptional contributions to democracy, human rights, and nation-building.
- 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: OLE Triple: [Cattaraugus County-Olean Airport, IATA code, OLE]
Generated description
OLE is the three-letter IATA airport code assigned to Cattaraugus County-Olean Airport in New York, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OLE Target entity description: OLE is the three-letter IATA airport code assigned to Cattaraugus County-Olean Airport in New York, United States.
-
A.
OLE
OLE (Object Linking and Embedding) is a Microsoft technology that enables embedding and linking to documents and other objects within different applications, forming a foundation for later component technologies like ActiveX.
-
B.
OL
OL is a UK postcode area covering Oldham and surrounding parts of Greater Manchester and nearby regions in North West England.
-
C.
OL
OL is the IATA airline designator assigned to Samoa Airways, the national carrier of Samoa.
-
D.
OL
OL is the commonly used abbreviation for Olympique Lyonnais, a major French football club best known internationally for its highly successful women's team.
-
E.
OL
OL is the official abbreviation for the Order of Luthuli, a South African national honor awarded for exceptional contributions to democracy, human rights, and nation-building.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a55536e0819083dcfc4be71d447a |
completed | April 19, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03213b71188190a74c401cdc371874 |
completed | May 12, 2026, 12:46 p.m. |
| NEDg | Description generation | batch_6a032261fd1081909ba0b04db93d16da |
completed | May 12, 2026, 12:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03232d682c8190bb9b8773609c83c2 |
completed | May 12, 2026, 12:55 p.m. |
Created at: April 10, 2026, 10:21 a.m.