Triple

T6285995
Position Surface form Disambiguated ID Type / Status
Subject C-8 E140901 entity
Predicate safetySystem P840 FINISHED
Object ASFA
ASFA is a Spanish railway automatic train protection system designed to monitor and control train speeds to enhance operational safety.
 E582705 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: ASFA | Statement: [C-8, safetySystem, ASFA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASFA
Context triple: [C-8, safetySystem, ASFA]
  • A. AFSA
    AFSA was a U.S. military signals intelligence and cryptologic organization that served as a predecessor to the National Security Agency (NSA).
  • B. AFAS
    AFAS is a regional agreement among ASEAN member states aimed at progressively liberalizing trade in services to enhance economic integration and competitiveness in Southeast Asia.
  • C. ASA
    ASA is the commonly used abbreviation for the Academy of Sciences of Albania, the country’s leading scientific research and advisory institution.
  • D. ASA
    ASA is the acronym for Aeropuertos y Servicios Auxiliares, the Mexican government agency responsible for operating and managing numerous airports and providing auxiliary aviation services in Mexico.
  • E. ASA
    ASA is an abbreviation commonly used to refer to the Assistant Secretary of the Army, a senior civilian official in the United States Department of the Army responsible for high-level policy and oversight.
  • 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: ASFA
Triple: [C-8, safetySystem, ASFA]
Generated description
ASFA is a Spanish railway automatic train protection system designed to monitor and control train speeds to enhance operational safety.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASFA
Target entity description: ASFA is a Spanish railway automatic train protection system designed to monitor and control train speeds to enhance operational safety.
  • A. AFSA
    AFSA was a U.S. military signals intelligence and cryptologic organization that served as a predecessor to the National Security Agency (NSA).
  • B. AFAS
    AFAS is a regional agreement among ASEAN member states aimed at progressively liberalizing trade in services to enhance economic integration and competitiveness in Southeast Asia.
  • C. ASA
    ASA is the commonly used abbreviation for the Academy of Sciences of Albania, the country’s leading scientific research and advisory institution.
  • D. ASA
    ASA is the acronym for Aeropuertos y Servicios Auxiliares, the Mexican government agency responsible for operating and managing numerous airports and providing auxiliary aviation services in Mexico.
  • E. ASA
    ASA is an abbreviation commonly used to refer to the Assistant Secretary of the Army, a senior civilian official in the United States Department of the Army responsible for high-level policy and oversight.
  • 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_69c008cd17c8819082b82d3fbeb68047 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063fe59fc81908dbd968017771190 completed March 22, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5196defc08190810c6d208ade918b completed March 26, 2026, 11:33 a.m.
NEDg Description generation batch_69c529857afc8190b8807615ea2b4e4d completed March 26, 2026, 12:41 p.m.
NED2 Entity disambiguation (via description) batch_69c58854c0c081908beccb626e923af3 completed March 26, 2026, 7:26 p.m.
Created at: March 22, 2026, 4:26 p.m.