Triple

T4951293
Position Surface form Disambiguated ID Type / Status
Subject Ministry of External Affairs of India E111173 entity
Predicate abbreviation P43 FINISHED
Object MEA
MEA is India’s Ministry of External Affairs, the government body responsible for managing the country’s foreign relations and diplomacy.
 E481971 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: MEA | Statement: [Ministry of External Affairs of India, abbreviation, MEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MEA
Context triple: [Ministry of External Affairs of India, abbreviation, MEA]
  • A. MEA
    MEA is the ICAO airline designator for Middle East Airlines, the flag carrier of Lebanon.
  • B. ME
    ME is the official two-letter United States Postal Service abbreviation for the state of Maine.
  • C. ME
    ME is the two-letter ISO 3166-1 alpha-2 country code assigned to Montenegro.
  • D. MEI
    MEI is a climate index that quantifies the strength and phase of the El Niño–Southern Oscillation by combining multiple atmospheric and oceanic variables over the tropical Pacific.
  • E. MEI
    MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
  • 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: MEA
Triple: [Ministry of External Affairs of India, abbreviation, MEA]
Generated description
MEA is India’s Ministry of External Affairs, the government body responsible for managing the country’s foreign relations and diplomacy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MEA
Target entity description: MEA is India’s Ministry of External Affairs, the government body responsible for managing the country’s foreign relations and diplomacy.
  • A. MEA
    MEA is the ICAO airline designator for Middle East Airlines, the flag carrier of Lebanon.
  • B. ME
    ME is the official two-letter United States Postal Service abbreviation for the state of Maine.
  • C. ME
    ME is the two-letter ISO 3166-1 alpha-2 country code assigned to Montenegro.
  • D. MEI
    MEI is a climate index that quantifies the strength and phase of the El Niño–Southern Oscillation by combining multiple atmospheric and oceanic variables over the tropical Pacific.
  • E. MEI
    MEI is the vehicle registration code for the German town of Meissen in the state of Saxony.
  • 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_69bd441721cc819085c7e33fe0876818 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71b561ec81908083225269222e96 completed March 20, 2026, 4:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81d3d9548190ae0a34549eb88036 completed March 21, 2026, 11:32 a.m.
NEDg Description generation batch_69be8287c9e481909aed15a20c3a3d20 completed March 21, 2026, 11:35 a.m.
NED2 Entity disambiguation (via description) batch_69be8301bfd88190b82442e17727ae3b completed March 21, 2026, 11:37 a.m.
Created at: March 20, 2026, 1:31 p.m.