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.