Triple

T1966794
Position Surface form Disambiguated ID Type / Status
Subject Chief of the Defence Staff of Spain E42706 entity
Predicate shortName P43 FINISHED
Object JEMAD
JEMAD is the Spanish acronym for the professional head of Spain’s Armed Forces, overseeing their strategic direction and operational command.
 E220030 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: JEMAD | Statement: [Chief of the Defence Staff of Spain, shortName, JEMAD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: JEMAD
Context triple: [Chief of the Defence Staff of Spain, shortName, JEMAD]
  • A. JAM
    JAM is the three-letter ISO 3166-1 alpha-3 country code assigned to Jamaica.
  • B. JM
    JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
  • C. Al Jumum
    Al Jumum is a town and governorate in western Saudi Arabia, situated near the holy city of Mecca in the Makkah administrative region.
  • D. Jarma
    Jarma is a feminine given name most notably borne by American actress Jarma Lewis.
  • E. Juhurim
    Juhurim are a Jewish ethnic group from the eastern and northern Caucasus, particularly Dagestan and Azerbaijan, with their own distinct language (Juhuri) and cultural traditions.
  • 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: JEMAD
Triple: [Chief of the Defence Staff of Spain, shortName, JEMAD]
Generated description
JEMAD is the Spanish acronym for the professional head of Spain’s Armed Forces, overseeing their strategic direction and operational command.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: JEMAD
Target entity description: JEMAD is the Spanish acronym for the professional head of Spain’s Armed Forces, overseeing their strategic direction and operational command.
  • A. JAM
    JAM is the three-letter ISO 3166-1 alpha-3 country code assigned to Jamaica.
  • B. JM
    JM is the two-letter ISO 3166-1 alpha-2 country code assigned to Jamaica for international standardization and identification purposes.
  • C. Al Jumum
    Al Jumum is a town and governorate in western Saudi Arabia, situated near the holy city of Mecca in the Makkah administrative region.
  • D. Jarma
    Jarma is a feminine given name most notably borne by American actress Jarma Lewis.
  • E. Juhurim
    Juhurim are a Jewish ethnic group from the eastern and northern Caucasus, particularly Dagestan and Azerbaijan, with their own distinct language (Juhuri) and cultural traditions.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3cd47388190998b5f6800141c92 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbd777608190b86d6edc68ff5d9b completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc81697c8190b0dd847649f28923 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfdc8a7f481909b2ee0b4444cf4b9 completed March 8, 2026, 10:52 p.m.
Created at: March 4, 2026, 7:36 p.m.