Triple

T9663784
Position Surface form Disambiguated ID Type / Status
Subject Army Staff of Spain E233651 entity
Predicate shortName P43 FINISHED
Object EME
EME is the abbreviated name for the Spanish Army Staff, the top command and planning body of Spain’s land forces.
 E812841 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: EME | Statement: [Army Staff of Spain, shortName, EME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EME
Context triple: [Army Staff of Spain, shortName, EME]
  • A. Emm
    Emm is the surname associated with Richard Dawson, indicating his family name or ancestral lineage.
  • B. EMAs
    The EMAs are MTV's annual Europe Music Awards ceremony celebrating popular music artists and performances, primarily targeting a European and global youth audience.
  • C. EMEAP
    EMEAP is a cooperative forum of central banks and monetary authorities from the East Asia-Pacific region that focuses on regional financial stability, policy dialogue, and collaboration.
  • D. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • E. EMMI
    EMMI is a multi-mode optical instrument used for imaging and spectroscopy on the NTT 3.58 m Telescope at the La Silla Observatory.
  • 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: EME
Triple: [Army Staff of Spain, shortName, EME]
Generated description
EME is the abbreviated name for the Spanish Army Staff, the top command and planning body of Spain’s land forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EME
Target entity description: EME is the abbreviated name for the Spanish Army Staff, the top command and planning body of Spain’s land forces.
  • A. Emm
    Emm is the surname associated with Richard Dawson, indicating his family name or ancestral lineage.
  • B. EMAs
    The EMAs are MTV's annual Europe Music Awards ceremony celebrating popular music artists and performances, primarily targeting a European and global youth audience.
  • C. EMEAP
    EMEAP is a cooperative forum of central banks and monetary authorities from the East Asia-Pacific region that focuses on regional financial stability, policy dialogue, and collaboration.
  • D. Em
    Em is a common shortened form of the given name Emma, often used as an informal nickname.
  • E. EMMI
    EMMI is a multi-mode optical instrument used for imaging and spectroscopy on the NTT 3.58 m Telescope at the La Silla Observatory.
  • 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_69ca848d3b6c8190ae98ea554dea58df completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c0cde048190b5a8e1548825d4d9 completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a17eea08190825404b01b0e8d96 completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18aee8ef8819080ce061f3d145712 completed April 4, 2026, 10:04 p.m.
NED2 Entity disambiguation (via description) batch_69d18b34d14881909b8da862c12f8727 completed April 4, 2026, 10:05 p.m.
Created at: March 30, 2026, 8:14 p.m.