Triple
T2373158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRS series |
E46134
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
IRS-P6
IRS-P6, also known as Resourcesat-1, is an Indian Earth observation satellite designed for resource monitoring and management, including agriculture, forestry, and land-use mapping.
|
E263677
|
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: IRS-P6 | Statement: [IRS series, hasMember, IRS-P6]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IRS-P6 Context triple: [IRS series, hasMember, IRS-P6]
-
A.
IRS-P2
IRS-P2 is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
-
B.
IRS-1B
IRS-1B is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
-
C.
IRS-CI
IRS-CI is the law enforcement arm of the U.S. Internal Revenue Service responsible for investigating potential criminal violations of the federal tax code and related financial crimes.
-
D.
IRS-1A
IRS-1A is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
-
E.
IR8
IR8 is a high-yielding semi-dwarf rice variety developed during the Green Revolution that significantly increased rice production worldwide.
- 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: IRS-P6 Triple: [IRS series, hasMember, IRS-P6]
Generated description
IRS-P6, also known as Resourcesat-1, is an Indian Earth observation satellite designed for resource monitoring and management, including agriculture, forestry, and land-use mapping.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: IRS-P6 Target entity description: IRS-P6, also known as Resourcesat-1, is an Indian Earth observation satellite designed for resource monitoring and management, including agriculture, forestry, and land-use mapping.
-
A.
IRS-P2
IRS-P2 is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
-
B.
IRS-1B
IRS-1B is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
-
C.
IRS-CI
IRS-CI is the law enforcement arm of the U.S. Internal Revenue Service responsible for investigating potential criminal violations of the federal tax code and related financial crimes.
-
D.
IRS-1A
IRS-1A is an Indian remote sensing satellite in the IRS series used primarily for Earth observation and resource monitoring.
-
E.
IR8
IR8 is a high-yielding semi-dwarf rice variety developed during the Green Revolution that significantly increased rice production worldwide.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc772bc6081908244e9af4bbe645f |
completed | March 7, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3c81430819081654a90df17c5c0 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb4a5011c8190bda6c487dab73131 |
completed | March 9, 2026, 11:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb59d0e5c819080bf5b34946b68ac |
completed | March 9, 2026, 11:57 a.m. |
Created at: March 4, 2026, 7:56 p.m.