Triple

T496420
Position Surface form Disambiguated ID Type / Status
Subject Military Intelligence Program E10303 entity
Predicate abbreviation P43 FINISHED
Object MIP
MIP is a U.S. Department of Defense funding and oversight framework that supports military intelligence activities, systems, and operations.
 E61780 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: MIP | Statement: [Military Intelligence Program, abbreviation, MIP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MIP
Context triple: [Military Intelligence Program, abbreviation, MIP]
  • A. 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.
  • B. MP
    MP is the two-letter ISO 3166-1 alpha-2 country code assigned to the Northern Mariana Islands.
  • C. MDP
    MDP is the stock ticker symbol for Meredith Corporation, a former American media and marketing company known for its magazine publishing and broadcasting operations.
  • D. MFS
    MFS (Macintosh File System) is the original flat file system used by early Macintosh computers before the introduction of the hierarchical HFS.
  • E. MIA
    MIA is the UN/LOCODE designation for Miami, a major coastal city and transportation hub in the U.S. state of Florida.
  • 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: MIP
Triple: [Military Intelligence Program, abbreviation, MIP]
Generated description
MIP is a U.S. Department of Defense funding and oversight framework that supports military intelligence activities, systems, and operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MIP
Target entity description: MIP is a U.S. Department of Defense funding and oversight framework that supports military intelligence activities, systems, and operations.
  • A. 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.
  • B. MP
    MP is the two-letter ISO 3166-1 alpha-2 country code assigned to the Northern Mariana Islands.
  • C. MDP
    MDP is the stock ticker symbol for Meredith Corporation, a former American media and marketing company known for its magazine publishing and broadcasting operations.
  • D. MFS
    MFS (Macintosh File System) is the original flat file system used by early Macintosh computers before the introduction of the hierarchical HFS.
  • E. MIA
    MIA is the UN/LOCODE designation for Miami, a major coastal city and transportation hub in the U.S. state of Florida.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f115334881908ac5ab96c7f4214e completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a47d2f3a148190b1d81f0836063171 completed March 1, 2026, 5:53 p.m.
NEDg Description generation batch_69a47eb3d90c81908e633300c0c8011b completed March 1, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69a47f71e9408190b82f277bb74c2a13 completed March 1, 2026, 6:03 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.