Triple

T22239407
Position Surface form Disambiguated ID Type / Status
Subject DB1 E549679 entity
Predicate hasMIC P20242 FINISHED
Object XETR NE NERFINISHED

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: XETR | Statement: [DB1, hasMIC, XETR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XETR
Context triple: [DB1, hasMIC, XETR]
  • A. XETR chosen
    XETR is the Market Identifier Code for electronic trading on the Xetra platform of the Frankfurt Stock Exchange in Germany.
  • B. XHEL
    XHEL is the Market Identifier Code for the Nasdaq Helsinki stock exchange in Finland.
  • C. XEL
    XEL is the stock ticker symbol for Xcel Energy, a major U.S. electric and natural gas utility company serving customers across several Midwestern and Western states.
  • D. XEW-TV
    XEW-TV is a pioneering Mexican television station based in Mexico City that became one of the flagship channels of what is now Televisa.
  • E. XEW-AM
    XEW-AM is a historic and influential Mexican radio station, often called "La Voz de la América Latina desde México," that became a cornerstone of Spanish-language broadcasting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132133b908190b0fb32a5ee68e1e6 completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.