Triple
T9808776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GSAT |
E238216
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
GSAT-30
GSAT-30 is an Indian geostationary communications satellite operated by ISRO to provide television, telecommunications, and broadband services.
|
E854684
|
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: GSAT-30 | Statement: [GSAT, hasComponent, GSAT-30]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GSAT-30 Context triple: [GSAT, hasComponent, GSAT-30]
-
A.
GSAT-3
GSAT-3, also known as EDUSAT, was an Indian communications satellite dedicated primarily to supporting educational services and distance learning across the country.
-
B.
GSAT-29
GSAT-29 is an Indian high-throughput communications satellite developed by ISRO to provide high-speed connectivity, particularly to remote and rural regions.
-
C.
GSAT-2
GSAT-2 is an Indian communications satellite developed by ISRO to provide telecommunication, broadcasting, and experimental services in orbit.
-
D.
GSAT-10
GSAT-10 is an Indian geostationary communications satellite used to provide telecommunications, direct-to-home broadcasting, and navigation services.
-
E.
GSAT-8
GSAT-8 is an Indian communications satellite used to enhance telecommunication, television broadcasting, and navigation services.
- 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: GSAT-30 Triple: [GSAT, hasComponent, GSAT-30]
Generated description
GSAT-30 is an Indian geostationary communications satellite operated by ISRO to provide television, telecommunications, and broadband services.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GSAT-30 Target entity description: GSAT-30 is an Indian geostationary communications satellite operated by ISRO to provide television, telecommunications, and broadband services.
-
A.
GSAT-3
GSAT-3, also known as EDUSAT, was an Indian communications satellite dedicated primarily to supporting educational services and distance learning across the country.
-
B.
GSAT-29
GSAT-29 is an Indian high-throughput communications satellite developed by ISRO to provide high-speed connectivity, particularly to remote and rural regions.
-
C.
GSAT-2
GSAT-2 is an Indian communications satellite developed by ISRO to provide telecommunication, broadcasting, and experimental services in orbit.
-
D.
GSAT-10
GSAT-10 is an Indian geostationary communications satellite used to provide telecommunications, direct-to-home broadcasting, and navigation services.
-
E.
GSAT-8
GSAT-8 is an Indian communications satellite used to enhance telecommunication, television broadcasting, and navigation services.
- 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_69ca84defac48190abc1148804f184c1 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb21ef32c8190ab4b09d157798451 |
completed | April 2, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71c3fa4b88190be4ce7b64335a99f |
completed | April 9, 2026, 3:25 a.m. |
| NEDg | Description generation | batch_69d71f76e3cc8190b21a5fe8825caa2b |
completed | April 9, 2026, 3:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7319938ec8190a4a1a5f09832e3e3 |
completed | April 9, 2026, 4:56 a.m. |
Created at: March 30, 2026, 8:29 p.m.