Triple

T14397031
Position Surface form Disambiguated ID Type / Status
Subject NASA Mission Control E356973 entity
Predicate hasRole P161 FINISHED
Object EECOM
EECOM is a NASA Mission Control position responsible for monitoring and managing a spacecraft’s electrical, environmental, and communications systems during flight.
 E1096613 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: EECOM | Statement: [NASA Mission Control, hasRole, EECOM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EECOM
Context triple: [NASA Mission Control, hasRole, EECOM]
  • A. ECOMIL
    ECOMIL was a West African regional peacekeeping force deployed to stabilize Liberia and support the end of the Second Liberian Civil War.
  • B. UEEE
    UEEE is the ICAO airport code for Yakutsk Airport, a major air transport hub in the Sakha Republic of Russia.
  • C. CECO
    CECO is the stock ticker symbol for Career Education Corporation, a U.S.-based provider of postsecondary education and career-focused training programs.
  • D. EC-M
    EC-M is the vehicle registration and regional code assigned to the Macas area in Ecuador.
  • E. EMCO
    EMCO is a key advisory body within the European Union that supports and coordinates member states’ employment and labor market policies.
  • 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: EECOM
Triple: [NASA Mission Control, hasRole, EECOM]
Generated description
EECOM is a NASA Mission Control position responsible for monitoring and managing a spacecraft’s electrical, environmental, and communications systems during flight.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EECOM
Target entity description: EECOM is a NASA Mission Control position responsible for monitoring and managing a spacecraft’s electrical, environmental, and communications systems during flight.
  • A. ECOMIL
    ECOMIL was a West African regional peacekeeping force deployed to stabilize Liberia and support the end of the Second Liberian Civil War.
  • B. UEEE
    UEEE is the ICAO airport code for Yakutsk Airport, a major air transport hub in the Sakha Republic of Russia.
  • C. CECO
    CECO is the stock ticker symbol for Career Education Corporation, a U.S.-based provider of postsecondary education and career-focused training programs.
  • D. EC-M
    EC-M is the vehicle registration and regional code assigned to the Macas area in Ecuador.
  • E. EMCO
    EMCO is a key advisory body within the European Union that supports and coordinates member states’ employment and labor market policies.
  • 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90826f908190b3969af9b7cf922f completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551cbdb08190a9ea53e607f2555b completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd55d90ed08190b6a0184715f39ff4 completed May 8, 2026, 3:17 a.m.
NED2 Entity disambiguation (via description) batch_69fd565d32fc8190acc1e733537a23cb completed May 8, 2026, 3:19 a.m.
Created at: April 10, 2026, 1:17 a.m.