Triple
T5566519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarvottam Yudh Seva Medal |
E145892
|
entity |
| Predicate | confersPostNominals |
P1804
|
FINISHED |
| Object |
SYSM
SYSM is a prestigious Indian military decoration awarded for the highest degree of distinguished service during wartime, used as post-nominal letters by its recipients.
|
E533097
|
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: SYSM | Statement: [Sarvottam Yudh Seva Medal, confersPostNominals, SYSM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SYSM Context triple: [Sarvottam Yudh Seva Medal, confersPostNominals, SYSM]
-
A.
System M
System M is the analog television broadcasting system used in NTSC countries, characterized by 525 lines per frame and a 60 Hz field rate.
-
B.
Sistema
Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
-
C.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
-
D.
System
System is a core .NET namespace that provides fundamental classes and base types essential for building .NET applications.
-
E.
SYSCOMs
SYSCOMs are the major U.S. Navy systems commands responsible for acquiring, engineering, and sustaining the service’s ships, aircraft, weapons, and information systems.
- 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: SYSM Triple: [Sarvottam Yudh Seva Medal, confersPostNominals, SYSM]
Generated description
SYSM is a prestigious Indian military decoration awarded for the highest degree of distinguished service during wartime, used as post-nominal letters by its recipients.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SYSM Target entity description: SYSM is a prestigious Indian military decoration awarded for the highest degree of distinguished service during wartime, used as post-nominal letters by its recipients.
-
A.
System M
System M is the analog television broadcasting system used in NTSC countries, characterized by 525 lines per frame and a 60 Hz field rate.
-
B.
Sistema
Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
-
C.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
-
D.
System
System is a core .NET namespace that provides fundamental classes and base types essential for building .NET applications.
-
E.
SYSCOMs
SYSCOMs are the major U.S. Navy systems commands responsible for acquiring, engineering, and sustaining the service’s ships, aircraft, weapons, and information systems.
- 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_69c008fdae24819081aa002ad99cd966 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c02034fc3081908920c52a19d462e1 |
completed | March 22, 2026, 5 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c028485ba081908565f7f852278cfc |
completed | March 22, 2026, 5:35 p.m. |
| NEDg | Description generation | batch_69c0384874d0819082ba855bfe6f2ba4 |
completed | March 22, 2026, 6:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c038e5dccc8190a5e1ec45712c00a3 |
completed | March 22, 2026, 6:45 p.m. |
Created at: March 22, 2026, 3:36 p.m.