Triple

T9624089
Position Surface form Disambiguated ID Type / Status
Subject Massachusetts Emergency Management Agency E232414 entity
Predicate abbreviation P43 FINISHED
Object MEMA
MEMA is the state agency responsible for coordinating emergency preparedness, response, and recovery efforts in Massachusetts.
 E810246 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: MEMA | Statement: [Massachusetts Emergency Management Agency, abbreviation, MEMA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MEMA
Context triple: [Massachusetts Emergency Management Agency, abbreviation, MEMA]
  • A. JEMA
    JEMA is the abbreviated designation for the Chief of Staff of the French Air and Space Force, the highest-ranking officer responsible for its command and strategic direction.
  • B. HMAAC
    HMAAC is a cultural institution in Houston dedicated to preserving, exhibiting, and promoting African American art, history, and culture.
  • C. MEA
    MEA is the ICAO airline designator for Middle East Airlines, the flag carrier of Lebanon.
  • D. MEA
    MEA is India’s Ministry of External Affairs, the government body responsible for managing the country’s foreign relations and diplomacy.
  • E. MAM
    MAM is a prominent modern art museum in Mexico City known for its extensive collection of 20th- and 21st-century Mexican and international artworks.
  • 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: MEMA
Triple: [Massachusetts Emergency Management Agency, abbreviation, MEMA]
Generated description
MEMA is the state agency responsible for coordinating emergency preparedness, response, and recovery efforts in Massachusetts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MEMA
Target entity description: MEMA is the state agency responsible for coordinating emergency preparedness, response, and recovery efforts in Massachusetts.
  • A. JEMA
    JEMA is the abbreviated designation for the Chief of Staff of the French Air and Space Force, the highest-ranking officer responsible for its command and strategic direction.
  • B. HMAAC
    HMAAC is a cultural institution in Houston dedicated to preserving, exhibiting, and promoting African American art, history, and culture.
  • C. MEA
    MEA is the ICAO airline designator for Middle East Airlines, the flag carrier of Lebanon.
  • D. MEA
    MEA is India’s Ministry of External Affairs, the government body responsible for managing the country’s foreign relations and diplomacy.
  • E. MAM
    MAM is a prominent modern art museum in Mexico City known for its extensive collection of 20th- and 21st-century Mexican and international artworks.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad76b148190a38fadee06594db4 completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1797ab3d4819088da04fd5d00386b completed April 4, 2026, 8:50 p.m.
NEDg Description generation batch_69d17a96725c8190aca4a5303952171b completed April 4, 2026, 8:54 p.m.
NED2 Entity disambiguation (via description) batch_69d17b3559548190afe2bbf7cbf8a2af completed April 4, 2026, 8:57 p.m.
Created at: March 30, 2026, 8:10 p.m.