Triple

T15217847
Position Surface form Disambiguated ID Type / Status
Subject Modified National Institute of Standards and Technology database E363685 entity
Predicate basedOn P98 FINISHED
Object NIST Special Database 1 E363687 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: NIST Special Database 1 | Statement: [Modified National Institute of Standards and Technology database, basedOn, NIST Special Database 1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NIST Special Database 1
Context triple: [Modified National Institute of Standards and Technology database, basedOn, NIST Special Database 1]
  • A. NIST Special Database 1 chosen
    NIST Special Database 1 is a U.S. National Institute of Standards and Technology collection of handwritten digit images that served as a primary source for creating the widely used MNIST dataset.
  • B. NIST Special Database 3
    NIST Special Database 3 is a U.S. National Institute of Standards and Technology collection of handwritten character images that served as a foundational source for later benchmark datasets in pattern recognition and machine learning.
  • C. Modified National Institute of Standards and Technology database
    The Modified National Institute of Standards and Technology database is a large, standardized collection of handwritten digit images widely used for training and evaluating image processing and machine learning algorithms.
  • D. Integrated Automated Fingerprint Identification System
    The Integrated Automated Fingerprint Identification System is the FBI’s large-scale computerized system for storing, searching, and matching fingerprint and biometric data to support criminal identification and investigative work.
  • E. European Dactyloscopy system
    The European Dactyloscopy system (Eurodac) is an EU-wide fingerprint database used primarily to identify and track asylum seekers and certain irregular migrants across member states.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076f90c481909989befe031a2cae completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed345d58c81908a8fd182c0fe7c15 completed May 9, 2026, 6:25 a.m.
Created at: April 10, 2026, 3:11 a.m.