Triple

T14393530
Position Surface form Disambiguated ID Type / Status
Subject Christos Faloutsos E356900 entity
Predicate hasPublishedIn P309 FINISHED
Object VLDB Conference E1104719 NE FINISHED

How this triple was built (2 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: VLDB Conference | Statement: [Christos Faloutsos, hasPublishedIn, VLDB Conference]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VLDB Conference
Context triple: [Christos Faloutsos, hasPublishedIn, VLDB Conference]
  • A. VLDB Conference chosen
    The VLDB Conference is a leading international research conference focused on database management, data engineering, and large-scale data systems.
  • B. ACM SIGMOD Conference
    The ACM SIGMOD Conference is a premier annual international research conference focusing on the management of data and database systems, organized by the ACM Special Interest Group on Management of Data.
  • C. ACM SIGMOD Symposium on Principles of Database Systems
    The ACM SIGMOD Symposium on Principles of Database Systems (PODS) is a leading annual research conference focused on the theoretical foundations and formal aspects of database systems.
  • D. VLDB Test of Time Award
    The VLDB Test of Time Award is a prestigious database research honor recognizing papers from the Very Large Data Bases (VLDB) conference that have had significant and lasting impact on the field over many years.
  • E. SIGMOD
    SIGMOD is a leading ACM special interest group focused on the research and development of data management and database systems.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de902d114881908a8f3c01b3c6d309 completed April 14, 2026, 7:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aa530fc81908aecc4439eea4c01 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:16 a.m.