Triple

T6467135
Position Surface form Disambiguated ID Type / Status
Subject 2004 Madrid train bombings E142258 entity
Predicate alsoKnownAs P39 FINISHED
Object 11-M
11-M is the commonly used Spanish shorthand for the 2004 Madrid train bombings, a coordinated terrorist attack on commuter trains that killed 193 people and injured thousands.
 E595104 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: 11-M | Statement: [2004 Madrid train bombings, alsoKnownAs, 11-M]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 11-M
Context triple: [2004 Madrid train bombings, alsoKnownAs, 11-M]
  • A. M11
    The M11 is a major motorway in Ireland that connects Dublin to the southeast, serving key towns and counties including County Wexford.
  • B. M11
    M11 is a major motorway in England that connects London to Cambridge and the East Anglia region.
  • C. M11
    M11 is a rich, compact open star cluster in the constellation Scutum, also known as the Wild Duck Cluster.
  • D. #11S
    #11S is a Catalan hashtag commonly used to refer to the National Day of Catalonia on September 11, especially in the context of pro-independence demonstrations and political events.
  • E. M1
    M1 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s waters.
  • 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: 11-M
Triple: [2004 Madrid train bombings, alsoKnownAs, 11-M]
Generated description
11-M is the commonly used Spanish shorthand for the 2004 Madrid train bombings, a coordinated terrorist attack on commuter trains that killed 193 people and injured thousands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 11-M
Target entity description: 11-M is the commonly used Spanish shorthand for the 2004 Madrid train bombings, a coordinated terrorist attack on commuter trains that killed 193 people and injured thousands.
  • A. M11
    M11 is a major motorway in England that connects London to Cambridge and the East Anglia region.
  • B. M11
    M11 is a rich, compact open star cluster in the constellation Scutum, also known as the Wild Duck Cluster.
  • C. M11
    The M11 is a major motorway in Ireland that connects Dublin to the southeast, serving key towns and counties including County Wexford.
  • D. #11S
    #11S is a Catalan hashtag commonly used to refer to the National Day of Catalonia on September 11, especially in the context of pro-independence demonstrations and political events.
  • E. M1
    M1 is a boat line that operates as part of Geneva’s public transport network, providing passenger service across the city’s waters.
  • 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_69c008d3bf4c8190bcf798c5ba9d6fb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06a12ccf481908f71f888cd744b64 completed March 22, 2026, 10:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bed24b881909ade4e5451153986 completed March 27, 2026, 9:20 a.m.
NEDg Description generation batch_69c64ca8eb2881909ed9927106b9a356 completed March 27, 2026, 9:23 a.m.
NED2 Entity disambiguation (via description) batch_69c64d44105c81908ddcdfabc51a75e9 completed March 27, 2026, 9:26 a.m.
Created at: March 22, 2026, 4:49 p.m.