Triple

T10991220
Position Surface form Disambiguated ID Type / Status
Subject random matrix theory E259756 entity
Predicate usedIn P98 FINISHED
Object principal component analysis E97073 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: principal component analysis | Statement: [random matrix theory, usedIn, principal component analysis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: principal component analysis
Context triple: [random matrix theory, usedIn, principal component analysis]
  • A. pca
    pca is the ISO 639-3 code for Popoloca, an indigenous language of Mexico belonging to the Oto-Manguean language family.
  • B. PCA chosen
    PCA (Principal Component Analysis) in scikit-learn is a dimensionality reduction technique that transforms high-dimensional data into a smaller set of uncorrelated components capturing the most variance.
  • C. PCA
    The PCA is an intergovernmental organization based in The Hague that facilitates arbitration and other forms of dispute resolution between states, state entities, intergovernmental organizations, and private parties.
  • D. PCA
    PCA is a conservative evangelical Presbyterian denomination in the United States known for its adherence to Reformed theology and Presbyterian church governance.
  • E. PCA
    PCA is a fan-voted American awards show that honors achievements in popular culture across film, television, music, and digital media.
  • 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d795d1e918819090c71f5a077fa15a completed April 9, 2026, 12:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e34504ebec8190a78e4795765b0c24 completed April 18, 2026, 8:47 a.m.
Created at: April 8, 2026, 9:24 p.m.