Triple

T2999135
Position Surface form Disambiguated ID Type / Status
Subject Autonomous University of Madrid E81143 entity
Predicate abbreviation P43 FINISHED
Object UAM
UAM is a major Spanish public research university located in Madrid, known for its strong academic programs and international reputation.
 E319003 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: UAM | Statement: [Autonomous University of Madrid, abbreviation, UAM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UAM
Context triple: [Autonomous University of Madrid, abbreviation, UAM]
  • A. UAM
    UAM is the IATA airport code for Andersen Air Force Base, a major United States Air Force installation on Guam.
  • B. UAK
    UAK was the temporary currency code used for the Ukrainian karbovanets, a transitional currency of Ukraine in the early 1990s before the introduction of the hryvnia.
  • C. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • D. AMU
    AMU is the commonly used abbreviation for Aix-Marseille University, a major public research university in southern France.
  • E. AMU
    The AMU, or Arab Maghreb Union, is a regional organization that promotes economic and political cooperation among North African Maghreb countries.
  • 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: UAM
Triple: [Autonomous University of Madrid, abbreviation, UAM]
Generated description
UAM is a major Spanish public research university located in Madrid, known for its strong academic programs and international reputation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UAM
Target entity description: UAM is a major Spanish public research university located in Madrid, known for its strong academic programs and international reputation.
  • A. UAM
    UAM is the IATA airport code for Andersen Air Force Base, a major United States Air Force installation on Guam.
  • B. UAK
    UAK was the temporary currency code used for the Ukrainian karbovanets, a transitional currency of Ukraine in the early 1990s before the introduction of the hryvnia.
  • C. UCA
    UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
  • D. AMU
    AMU is the commonly used abbreviation for Aix-Marseille University, a major public research university in southern France.
  • E. AMU
    The AMU, or Arab Maghreb Union, is a regional organization that promotes economic and political cooperation among North African Maghreb countries.
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f8eb248190b50fd539a06a5a62 completed March 8, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b12e468db4819094fb7badbd48ce1e completed March 11, 2026, 8:56 a.m.
NEDg Description generation batch_69b12ec0eeb08190943ca528fdcf2cf2 completed March 11, 2026, 8:58 a.m.
NED2 Entity disambiguation (via description) batch_69b1d2cf78e88190b548e75cdaca6a66 completed March 11, 2026, 8:38 p.m.
Created at: March 8, 2026, 2:59 p.m.