Triple
T631872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi |
E15942
|
entity |
| Predicate | ISOCode |
P208
|
FINISHED |
| Object |
US-MS
US-MS is the ISO 3166-2 code representing the U.S. state of Mississippi.
|
E79156
|
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: US-MS | Statement: [Mississippi, ISOCode, US-MS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US-MS Context triple: [Mississippi, ISOCode, US-MS]
-
A.
US-CT
US-CT is the ISO 3166-2 code representing the U.S. state of Connecticut.
-
B.
UST
UST is the commonly used abbreviation for the United States Department of the Treasury, the federal executive department responsible for managing government revenue, producing currency, and formulating economic and financial policy.
-
C.
Texas–New York
Texas–New York refers to the interstate context linking Texas and New York, notably framing sports rivalries such as those between Dallas and New York teams.
-
D.
USMIA
USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
-
E.
Florida, Missouri, United States
Florida, Missouri, United States, is a small village best known as the birthplace of famed American author Mark Twain (Samuel Langhorne Clemens).
- 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: US-MS Triple: [Mississippi, ISOCode, US-MS]
Generated description
US-MS is the ISO 3166-2 code representing the U.S. state of Mississippi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: US-MS Target entity description: US-MS is the ISO 3166-2 code representing the U.S. state of Mississippi.
-
A.
US-CT
US-CT is the ISO 3166-2 code representing the U.S. state of Connecticut.
-
B.
UST
UST is the commonly used abbreviation for the United States Department of the Treasury, the federal executive department responsible for managing government revenue, producing currency, and formulating economic and financial policy.
-
C.
Texas–New York
Texas–New York refers to the interstate context linking Texas and New York, notably framing sports rivalries such as those between Dallas and New York teams.
-
D.
USMIA
USMIA is the UN/LOCODE identifier for the port and transport hub of Miami in the United States.
-
E.
Florida, Missouri, United States
Florida, Missouri, United States, is a small village best known as the birthplace of famed American author Mark Twain (Samuel Langhorne Clemens).
- 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.