Triple

T32215737
Position Surface form Disambiguated ID Type / Status
Subject Computational Learning Theory E822917 entity
Predicate hasInfluentialConference P200367 FINISHED
Object COLT
COLT is a leading annual research conference focused on theoretical foundations of machine learning and computational learning theory.
 E1997113 NE FINISHED

How this triple was built (3 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: COLT | Statement: [Computational Learning Theory, hasInfluentialConference, COLT]
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: COLT
Triple: [Computational Learning Theory, hasInfluentialConference, COLT]
Generated description
COLT is a leading annual research conference focused on theoretical foundations of machine learning and computational learning theory.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasInfluentialConference
Context triple: [Computational Learning Theory, hasInfluentialConference, COLT]
  • A. hasConference
    Indicates that an entity organizes, hosts, or is associated with a specific conference.
  • B. hadConference
    Indicates that a conference event took place involving the specified entities (such as participants, organizations, or locations).
  • C. usedInConference
    Indicates that something (such as a method, tool, or material) is employed or applied within the context of a particular conference.
  • D. hasConferenceType
    Indicates that an entity is associated with or classified by a specific type or category of conference.
  • E. conferencesCovered
    Indicates that one entity has reported on, documented, or provided coverage of one or more conferences associated with another entity.
  • F. None of above. chosen

Provenance (7 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_69f3490a3bec819097bc58d4731b9d08 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69ff84df768c81908c65a1a7e33103ad completed May 9, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2f3b9e07148190b1c0485c4d8dca9c completed June 14, 2026, 11:39 p.m.
NEDg Description generation batch_6a2f3c207d988190835c5bda034bbc6c completed June 14, 2026, 11:41 p.m.
NED2 Entity disambiguation (via description) batch_6a2f3ef33fc08190bdedc81c93429535 completed June 14, 2026, 11:53 p.m.
PD Predicate disambiguation batch_69ff848d0af881908ee42c27a58af47e completed May 9, 2026, 7:01 p.m.
PDg Predicate description generation batch_69ff84dec2848190b67a497d025c8880 completed May 9, 2026, 7:02 p.m.
Created at: May 1, 2026, 12:37 a.m.