Triple
T18763777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surya Kiran |
E458841
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
SKAT
SKAT is the abbreviation for Surya Kiran, the Indian Air Force’s renowned aerobatic display team known for its precision formation flying.
|
E1341950
|
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: SKAT | Statement: [Surya Kiran, abbreviation, SKAT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SKAT Context triple: [Surya Kiran, abbreviation, SKAT]
-
A.
SKO
SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
-
B.
SKO
SKO is the IATA airport code for Sadiq Abubakar III International Airport serving Sokoto, Nigeria.
-
C.
Brokskat
Brokskat is a Dardic language spoken in parts of northern Pakistan and India, closely related to the Shina language.
-
D.
SKB
SKB is the three-letter IATA airport code for Robert L. Bradshaw International Airport serving Basseterre on the island of Saint Kitts in the Caribbean.
-
E.
SKB
SKB is the German Bundeswehr’s Joint Support Service, responsible for providing cross-branch logistical, administrative, and operational support to the armed forces.
- 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: SKAT Triple: [Surya Kiran, abbreviation, SKAT]
Generated description
SKAT is the abbreviation for Surya Kiran, the Indian Air Force’s renowned aerobatic display team known for its precision formation flying.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SKAT Target entity description: SKAT is the abbreviation for Surya Kiran, the Indian Air Force’s renowned aerobatic display team known for its precision formation flying.
-
A.
SKO
SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
-
B.
SKO
SKO is the IATA airport code for Sadiq Abubakar III International Airport serving Sokoto, Nigeria.
-
C.
Brokskat
Brokskat is a Dardic language spoken in parts of northern Pakistan and India, closely related to the Shina language.
-
D.
SKB
SKB is the three-letter IATA airport code for Robert L. Bradshaw International Airport serving Basseterre on the island of Saint Kitts in the Caribbean.
-
E.
SKB
SKB is the German Bundeswehr’s Joint Support Service, responsible for providing cross-branch logistical, administrative, and operational support to the armed forces.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d82297c81909f720e2637cec737 |
completed | April 20, 2026, 2:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053d407b0c819090e6d66430db4a39 |
completed | May 14, 2026, 3:10 a.m. |
| NEDg | Description generation | batch_6a053df532c48190b153dd9f790f1cc8 |
completed | May 14, 2026, 3:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0541e2d4008190a8beb79812ccf485 |
completed | May 14, 2026, 3:30 a.m. |
Created at: April 10, 2026, 11:52 a.m.