Triple

T18254152
Position Surface form Disambiguated ID Type / Status
Subject Continental AG E437177 entity
Predicate hasTickerSymbol P1447 FINISHED
Object CON 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: CON | Statement: [Continental AG, hasTickerSymbol, CON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CON
Context triple: [Continental AG, hasTickerSymbol, CON]
  • A. CON chosen
    CON is the stock ticker symbol for Continental AG, a major German automotive parts manufacturer and tire producer.
  • B. CON
    CON is a Nigerian national honor post-nominal indicating a recipient of the Commander of the Order of the Niger.
  • C. CONT
    CONT is the European Parliament’s Committee on Budgetary Control, responsible for overseeing the implementation and proper use of the European Union budget.
  • D. Con
    Con is a common diminutive or nickname for the given name Conrad.
  • E. CONS
    CONS is the National Olympic Committee responsible for organizing and overseeing San Marino’s participation in the Olympic Games and other international sporting events.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd82f81c81909ad4455954bd8caa completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:33 a.m.