Triple
T631871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi |
E15942
|
entity |
| Predicate | postalAbbreviation |
P43
|
FINISHED |
| Object |
MS
MS is the official two-letter United States Postal Service abbreviation for the state of Mississippi.
|
E79155
|
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: MS | Statement: [Mississippi, postalAbbreviation, MS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MS Context triple: [Mississippi, postalAbbreviation, MS]
-
A.
MSA
MSA is the common abbreviation for the Master Settlement Agreement, a landmark 1998 legal settlement between major U.S. tobacco companies and state attorneys general that reshaped tobacco advertising and funded public health initiatives.
-
B.
MSK
MSK is the standard time zone abbreviation used for Moscow Time, which is three hours ahead of Coordinated Universal Time (UTC+3).
-
C.
MSC
MSC is the commonly used abbreviation for the International Maritime Organization’s Maritime Safety Committee, the UN body responsible for setting global standards for the safety and security of international shipping.
-
D.
MPS
MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
-
E.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
- 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: MS Triple: [Mississippi, postalAbbreviation, MS]
Generated description
MS is the official two-letter United States Postal Service abbreviation for the state of Mississippi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MS Target entity description: MS is the official two-letter United States Postal Service abbreviation for the state of Mississippi.
-
A.
MSA
MSA is the common abbreviation for the Master Settlement Agreement, a landmark 1998 legal settlement between major U.S. tobacco companies and state attorneys general that reshaped tobacco advertising and funded public health initiatives.
-
B.
MSK
MSK is the standard time zone abbreviation used for Moscow Time, which is three hours ahead of Coordinated Universal Time (UTC+3).
-
C.
MSC
MSC is the commonly used abbreviation for the International Maritime Organization’s Maritime Safety Committee, the UN body responsible for setting global standards for the safety and security of international shipping.
-
D.
MPS
MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
-
E.
LS
LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec2a4c08190bc5c6ce8a10b0967 |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56c4d84d8819095afbf0ee9c7bd82 |
completed | March 2, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_69a56c99153c8190bb457b19c2f97052 |
completed | March 2, 2026, 10:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a56d31be8881909155f2eac7131798 |
completed | March 2, 2026, 10:57 a.m. |
Created at: March 1, 2026, 7:35 p.m.