Triple

T11293661
Position Surface form Disambiguated ID Type / Status
Subject Caltech’s Social and Information Sciences Laboratory E267392 entity
Predicate usesToolFromDiscipline P98353 FINISHED
Object economics LITERAL 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: economics | Statement: [Caltech’s Social and Information Sciences Laboratory, usesToolFromDiscipline, economics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesToolFromDiscipline
Context triple: [Caltech’s Social and Information Sciences Laboratory, usesToolFromDiscipline, economics]
  • A. usesToolFor
    Indicates that an agent employs a specific tool to carry out or facilitate a particular action or purpose.
  • B. usesToolType
    Indicates that an entity performs an action or fulfills a role by employing a specific type or category of tool.
  • C. usedByTool
    Indicates that a particular tool is employed or operated by a specified agent or entity.
  • D. associatedWithDiscipline
    Indicates that an entity has a relevant connection or involvement with a particular academic, professional, or thematic discipline.
  • E. isToolOf
    Indicates that one entity functions as an instrument or means used by another entity to perform tasks or achieve goals.
  • F. None of above. chosen

Provenance (4 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e98b149481909f432a6b9ef8bfbb completed April 9, 2026, 6:01 p.m.
PD Predicate disambiguation batch_69d787a6ca2c8190afdc24b61ccd3f8a completed April 9, 2026, 11:04 a.m.
PDg Predicate description generation batch_69d796d049e88190a9fd7508f477f541 completed April 9, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:32 p.m.