Triple
T3084619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scheduled Castes |
E64341
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
SCs
SCs refers to the Scheduled Castes in India, a group of historically disadvantaged communities recognized in the Constitution for affirmative action and social protection.
|
E325176
|
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: SCs | Statement: [Scheduled Castes, alsoKnownAs, SCs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCs Context triple: [Scheduled Castes, alsoKnownAs, SCs]
-
A.
SCS
SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
-
B.
SC
SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
-
C.
SCC
SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
-
D.
SCC
SCC is an abbreviation that can refer to various organizations, concepts, or terms depending on the context, such as educational institutions, technical concepts, or committees.
-
E.
SCC
SCC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
- 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: SCs Triple: [Scheduled Castes, alsoKnownAs, SCs]
Generated description
SCs refers to the Scheduled Castes in India, a group of historically disadvantaged communities recognized in the Constitution for affirmative action and social protection.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SCs Target entity description: SCs refers to the Scheduled Castes in India, a group of historically disadvantaged communities recognized in the Constitution for affirmative action and social protection.
-
A.
SCS
SCS is Carnegie Mellon University's renowned School of Computer Science, recognized globally for pioneering research and education in computing and related fields.
-
B.
SC
SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
-
C.
SCC
SCC is the commonly used abbreviation for the MIT Schwarzman College of Computing, an interdisciplinary hub for computing and AI research and education.
-
D.
SCC
SCC is an abbreviation that can refer to various organizations, concepts, or terms depending on the context, such as educational institutions, technical concepts, or committees.
-
E.
SCC
SCC is the commonly used abbreviation for the Supreme Court of Canada, the country's highest judicial authority.
- 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_69ad857bb4c88190a4cf27893fcabed8 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada1e98a1c8190b1dd4a0a47f7d6c6 |
completed | March 8, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1f89b650c8190983a00e37a42a794 |
completed | March 11, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_69b1f992a8ec8190b3e37dddd93ac57b |
completed | March 11, 2026, 11:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1f9f759408190a4f2121078fe13cb |
completed | March 11, 2026, 11:25 p.m. |
Created at: March 8, 2026, 3:03 p.m.