Triple
T9745037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Navy Supply Corps |
E236284
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
SC
SC is the official abbreviation used by the United States Navy to denote officers of its Supply Corps, the branch responsible for logistics, supply, and financial management.
|
E817853
|
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: SC | Statement: [United States Navy Supply Corps, hasAbbreviation, SC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SC Context triple: [United States Navy Supply Corps, hasAbbreviation, SC]
-
A.
SC
SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
-
B.
SC
SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
-
C.
SC
SC is the commonly used abbreviation for Service Canada, the federal government agency that delivers a wide range of public services and benefits to Canadians.
-
D.
SC
SC is the official Indian Railways station code for Secunderabad Junction, a major railway hub in Telangana, India.
-
E.
SC
SC is the vehicle registration code used on license plates for vehicles registered in Częstochowa, a city in southern Poland.
- 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: SC Triple: [United States Navy Supply Corps, hasAbbreviation, SC]
Generated description
SC is the official abbreviation used by the United States Navy to denote officers of its Supply Corps, the branch responsible for logistics, supply, and financial management.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SC Target entity description: SC is the official abbreviation used by the United States Navy to denote officers of its Supply Corps, the branch responsible for logistics, supply, and financial management.
-
A.
SC
SC is the standard two-letter postal abbreviation for the U.S. state of South Carolina.
-
B.
SC
SC is the official Indian Railways station code for Secunderabad Junction, a major railway hub in Telangana, India.
-
C.
SC
SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
-
D.
SC
SC is the vehicle registration code used on license plates for vehicles registered in Częstochowa, a city in southern Poland.
-
E.
SC
SC is the commonly used abbreviation for Service Canada, the federal government agency that delivers a wide range of public services and benefits to Canadians.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2f8e648190ad94c940f9dc1de0 |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b004a6e88190a974f4a8973f91ef |
completed | April 5, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69d1b0f7a68481909de080dd78f883a8 |
completed | April 5, 2026, 12:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1b17bd97c8190b77815db5a6a70d9 |
completed | April 5, 2026, 12:49 a.m. |
Created at: March 30, 2026, 8:23 p.m.