Triple
T18398732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sports Authority of India |
E449935
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SAI
SAI is India’s apex national sports body responsible for developing, promoting, and managing sports and athletic training across the country.
|
E1322079
|
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: SAI | Statement: [Sports Authority of India, abbreviation, SAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAI Context triple: [Sports Authority of India, abbreviation, SAI]
-
A.
SAIT
SAIT is a Canadian polytechnic institute in Calgary, Alberta, offering career-focused technical, trades, and applied degree programs.
-
B.
SAJ
SAJ is a Jewish congregation and community in New York City historically associated with the Reconstructionist movement and progressive Jewish practice.
-
C.
SAJ
SAJ is the Ski Association of Japan, the national governing body for ski sports in Japan, including ski jumping.
-
D.
SAJ
SAJ is the National Rail station code for St Johns railway station in southeast London, England.
-
E.
saio-dai
Saio-dai is the ceremonial imperial princess role, traditionally portrayed by an unmarried woman from a distinguished Kyoto family, who leads the procession in the Aoi Matsuri festival.
- 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: SAI Triple: [Sports Authority of India, abbreviation, SAI]
Generated description
SAI is India’s apex national sports body responsible for developing, promoting, and managing sports and athletic training across the country.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SAI Target entity description: SAI is India’s apex national sports body responsible for developing, promoting, and managing sports and athletic training across the country.
-
A.
SAIT
SAIT is a Canadian polytechnic institute in Calgary, Alberta, offering career-focused technical, trades, and applied degree programs.
-
B.
SAJ
SAJ is a Jewish congregation and community in New York City historically associated with the Reconstructionist movement and progressive Jewish practice.
-
C.
SAJ
SAJ is the Ski Association of Japan, the national governing body for ski sports in Japan, including ski jumping.
-
D.
SAJ
SAJ is the National Rail station code for St Johns railway station in southeast London, England.
-
E.
saio-dai
Saio-dai is the ceremonial imperial princess role, traditionally portrayed by an unmarried woman from a distinguished Kyoto family, who leads the procession in the Aoi Matsuri festival.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5184879548190b7f428e2d4c2caa4 |
completed | April 19, 2026, 6 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e2427c448190b3562d7cb0313d5a |
completed | May 13, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_6a03e2ca62f881908122f2d2fe3b937d |
completed | May 13, 2026, 2:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e33718f481909377eeff33332f33 |
completed | May 13, 2026, 2:34 a.m. |
Created at: April 10, 2026, 10:46 a.m.