Triple

T22240329
Position Surface form Disambiguated ID Type / Status
Subject KER E549700 entity
Predicate hasBloombergTicker P1447 FINISHED
Object KER FP
KER FP is the Bloomberg ticker symbol for Kering SA, the French multinational luxury goods group that owns brands such as Gucci, Saint Laurent, and Bottega Veneta.
E549700 NE FINISHED

How this triple was built (4 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: KER FP | Statement: [KER, hasBloombergTicker, KER FP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: KER FP
Context triple: [KER, hasBloombergTicker, KER FP]
  • A. FKP
    FKP is the ISO 4217 currency code for the Falkland Islands pound, the official currency of the Falkland Islands.
  • B. FKP
    FKP is the commonly used abbreviation for FK Pardubice, a professional football club based in Pardubice, Czech Republic.
  • C. KER
    KER is the stock ticker symbol for Kering, the French multinational luxury goods group that owns brands such as Gucci, Saint Laurent, and Bottega Veneta.
  • D. KRP
    KRP is the IATA airport code for Karup Airport, a regional airport in Denmark.
  • E. FKB
    FKB is the IATA airport code for Karlsruhe/Baden-Baden Airport in southwestern Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: KER FP
Triple: [KER, hasBloombergTicker, KER FP]
Generated description
KER FP is the Bloomberg ticker symbol for Kering SA, the French multinational luxury goods group that owns brands such as Gucci, Saint Laurent, and Bottega Veneta.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: KER FP
Target entity description: KER FP is the Bloomberg ticker symbol for Kering SA, the French multinational luxury goods group that owns brands such as Gucci, Saint Laurent, and Bottega Veneta.
  • A. FKP
    FKP is the commonly used abbreviation for FK Pardubice, a professional football club based in Pardubice, Czech Republic.
  • B. FKP
    FKP is the ISO 4217 currency code for the Falkland Islands pound, the official currency of the Falkland Islands.
  • C. KER chosen
    KER is the stock ticker symbol for Kering, the French multinational luxury goods group that owns brands such as Gucci, Saint Laurent, and Bottega Veneta.
  • D. KRP
    KRP is the IATA airport code for Karup Airport, a regional airport in Denmark.
  • E. FKB
    FKB is the IATA airport code for Karlsruhe/Baden-Baden Airport in southwestern Germany.
  • F. None of above.

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a0ab658d0bc81909f2b828296b20068 completed May 18, 2026, 6:48 a.m.
NEDg Description generation batch_6a0ab6ec0b5c819091e5c71354fef0b6 completed May 18, 2026, 6:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab7bb6fbc81909e54be3d1ae98cbf completed May 18, 2026, 6:54 a.m.
Created at: April 16, 2026, 8:38 p.m.