Triple

T8914852
Position Surface form Disambiguated ID Type / Status
Subject Multinational Corps Northeast E212270 entity
Predicate abbreviation P43 FINISHED
Object MNC NE
MNC NE is a regional branch of a multinational corporation operating in the Northeast, typically overseeing corporate strategy, operations, and market activities across that geographic area.
E765600 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: MNC NE | Statement: [Multinational Corps Northeast, abbreviation, MNC NE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MNC NE
Context triple: [Multinational Corps Northeast, abbreviation, MNC NE]
  • A. MNC
    MNC is the three-letter National Rail station code assigned to Markinch railway station in Fife, Scotland.
  • B. NEC
    NEC is a major Japanese multinational information technology and electronics corporation known for producing computer hardware, telecommunications equipment, and related services.
  • C. NEC
    NEC is an NCAA Division I collegiate athletic conference primarily comprising institutions in the Northeastern United States.
  • D. MNZ
    MNZ is the IATA airport code for Manassas Regional Airport, a public airport serving Manassas, Virginia, in the United States.
  • E. MNH
    MNH was a German company that played a key role in producing Panther tanks for the Wehrmacht during World War II.
  • 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: MNC NE
Triple: [Multinational Corps Northeast, abbreviation, MNC NE]
Generated description
MNC NE is a regional branch of a multinational corporation operating in the Northeast, typically overseeing corporate strategy, operations, and market activities across that geographic area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MNC NE
Target entity description: MNC NE is a regional branch of a multinational corporation operating in the Northeast, typically overseeing corporate strategy, operations, and market activities across that geographic area.
  • A. MNC
    MNC is the three-letter National Rail station code assigned to Markinch railway station in Fife, Scotland.
  • B. NEC
    NEC is a major Japanese multinational information technology and electronics corporation known for producing computer hardware, telecommunications equipment, and related services.
  • C. NEC
    NEC is an NCAA Division I collegiate athletic conference primarily comprising institutions in the Northeastern United States.
  • D. MNZ
    MNZ is the IATA airport code for Manassas Regional Airport, a public airport serving Manassas, Virginia, in the United States.
  • E. MNH
    MNH was a German company that played a key role in producing Panther tanks for the Wehrmacht during World War II.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc660e620c8190b02b9843c8f02bfa completed April 1, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba4102e881908441669e14e5c491 completed April 3, 2026, 1:01 p.m.
NEDg Description generation batch_69cfbacea9408190a38f14817437c382 completed April 3, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfbb6235148190850865a734d55a6c completed April 3, 2026, 1:06 p.m.
Created at: March 30, 2026, 6:56 p.m.