Triple

T14144709
Position Surface form Disambiguated ID Type / Status
Subject DTE Energy E350514 entity
Predicate tickerSymbol P1447 FINISHED
Object DTE E350514 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: DTE | Statement: [DTE Energy, tickerSymbol, DTE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DTE
Context triple: [DTE Energy, tickerSymbol, DTE]
  • A. DTE
    DTE is the stock ticker symbol for Deutsche Telekom AG, a major German telecommunications company listed on the Frankfurt Stock Exchange.
  • B. DTE Energy chosen
    DTE Energy is a Detroit-based diversified energy company that provides electric and natural gas utility services to customers in Michigan and operates various energy-related businesses across the United States.
  • C. FirstEnergy
    FirstEnergy is a major American energy company that generates, transmits, and distributes electricity to customers across several states in the Midwest and Mid-Atlantic regions.
  • D. Xcel
    Xcel is a music producer known for contributing to the sound of Big Sean’s debut studio album "Finally Famous."
  • E. TECO
    TECO is an early, powerful but notoriously cryptic text editor and programming language that originated on DEC systems and later served as the foundation for TECO Emacs.
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61214de081909a5186ff11336f97 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf1b8508819096d4f5cf1456edca completed May 7, 2026, 6:51 p.m.
Created at: April 10, 2026, 12:53 a.m.