Triple

T6178609
Position Surface form Disambiguated ID Type / Status
Subject Hilton Hotels Corporation E137882 entity
Predicate tickerSymbol P1447 FINISHED
Object HLT
HLT is the stock ticker symbol for Hilton Worldwide Holdings Inc., a major global hospitality company operating a wide portfolio of hotel and resort brands.
 E574557 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: HLT | Statement: [Hilton Hotels Corporation, tickerSymbol, HLT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: HLT
Context triple: [Hilton Hotels Corporation, tickerSymbol, HLT]
  • A. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • B. HT
    HT is the ISO 3166-1 alpha-2 country code for Haiti.
  • C. HAV
    HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • D. HEL
    HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
  • E. HAD
    HAD is the commonly used abbreviation for the Historical Astronomy Division, a group focused on the study and promotion of the history of astronomy.
  • 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: HLT
Triple: [Hilton Hotels Corporation, tickerSymbol, HLT]
Generated description
HLT is the stock ticker symbol for Hilton Worldwide Holdings Inc., a major global hospitality company operating a wide portfolio of hotel and resort brands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: HLT
Target entity description: HLT is the stock ticker symbol for Hilton Worldwide Holdings Inc., a major global hospitality company operating a wide portfolio of hotel and resort brands.
  • A. HL
    HL is the vehicle registration code used on license plates for the German city of Lübeck.
  • B. HT
    HT is the ISO 3166-1 alpha-2 country code for Haiti.
  • C. HAV
    HAV is the IATA airport code for José Martí International Airport, the main international gateway serving Havana, Cuba.
  • D. HEL
    HEL is the three-letter IATA airport code for Helsinki Airport, the main international gateway to Finland’s capital region.
  • E. HAD
    HAD is the commonly used abbreviation for the Historical Astronomy Division, a group focused on the study and promotion of the history of astronomy.
  • F. None of above. chosen

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_69c008a80f748190ba3d07ffc81acb29 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05dc9f3d88190ab46b3b246f5a8df completed March 22, 2026, 9:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141bb426881908d5a1451b3619f03 completed March 23, 2026, 1:35 p.m.
NEDg Description generation batch_69c1467ef4d48190b714823935318c0a completed March 23, 2026, 1:56 p.m.
NED2 Entity disambiguation (via description) batch_69c146f59d9881908fdc6c0137f0ead7 completed March 23, 2026, 1:58 p.m.
Created at: March 22, 2026, 4:18 p.m.