Triple
T9109012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York State Olympic Regional Development Authority |
E218547
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
ORDA
ORDA is a New York State public authority that manages and operates major Olympic and winter sports venues, particularly in the Lake Placid region.
|
E778753
|
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: ORDA | Statement: [New York State Olympic Regional Development Authority, shortName, ORDA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ORDA Context triple: [New York State Olympic Regional Development Authority, shortName, ORDA]
-
A.
Ora
Ora is the surname of British singer, songwriter, and actress Rita Ora, known for her pop hits and work in film and television.
-
B.
Ors
Ors is a small commune in northern France, known for its World War I history and military cemetery.
-
C.
Orkh
Orkh is the ISO 15924 script code assigned to the Old Turkic (Orkhon) runic writing system historically used by early Turkic peoples of Central Asia.
-
D.
Oras
Oras is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and Pacific shoreline.
-
E.
ORU
ORU is a private Christian liberal arts university in Tulsa, Oklahoma, founded by evangelist Oral Roberts and known for integrating faith-based education with a diverse range of academic programs.
- 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: ORDA Triple: [New York State Olympic Regional Development Authority, shortName, ORDA]
Generated description
ORDA is a New York State public authority that manages and operates major Olympic and winter sports venues, particularly in the Lake Placid region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ORDA Target entity description: ORDA is a New York State public authority that manages and operates major Olympic and winter sports venues, particularly in the Lake Placid region.
-
A.
Ora
Ora is the surname of British singer, songwriter, and actress Rita Ora, known for her pop hits and work in film and television.
-
B.
Ors
Ors is a small commune in northern France, known for its World War I history and military cemetery.
-
C.
Orkh
Orkh is the ISO 15924 script code assigned to the Old Turkic (Orkhon) runic writing system historically used by early Turkic peoples of Central Asia.
-
D.
Oras
Oras is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and Pacific shoreline.
-
E.
ORU
ORU is a private Christian liberal arts university in Tulsa, Oklahoma, founded by evangelist Oral Roberts and known for integrating faith-based education with a diverse range of academic programs.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca57543448190829853c31e05dd8c |
completed | April 1, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03038dba48190991cb76576349bc3 |
completed | April 3, 2026, 9:25 p.m. |
| NEDg | Description generation | batch_69d031a55a88819090cea52b192e9f55 |
completed | April 3, 2026, 9:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d03252748c8190bd362f205a6fc20a |
completed | April 3, 2026, 9:34 p.m. |
Created at: March 30, 2026, 7:16 p.m.