Triple

T33796589
Position Surface form Disambiguated ID Type / Status
Subject Aloft Hotels E866089 entity
Predicate brandProgram P180099 FINISHED
Object W XYZ bar
W XYZ bar is a signature social lounge and bar concept featured in Aloft Hotels, known for its vibrant atmosphere, cocktails, and live music events.
 E2067723 NE FINISHED

How this triple was built (3 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: W XYZ bar | Statement: [Aloft Hotels, brandProgram, W XYZ bar]
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: W XYZ bar
Triple: [Aloft Hotels, brandProgram, W XYZ bar]
Generated description
W XYZ bar is a signature social lounge and bar concept featured in Aloft Hotels, known for its vibrant atmosphere, cocktails, and live music events.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: brandProgram
Context triple: [Aloft Hotels, brandProgram, W XYZ bar]
  • A. agencyProgramName
    Indicates the specific program or initiative name associated with or administered by an agency.
  • B. currentProgramBrand
    Indicates that an entity is associated with the brand of the program it is currently part of or participating in.
  • C. agencyProgramme
    Indicates that an agency is responsible for, manages, or is associated with a particular programme.
  • D. companyProgram
    Indicates that a program is organized, operated, or sponsored by a specific company.
  • E. brand campaign
    Indicates a coordinated set of marketing activities and messages designed to promote, position, or reinforce a brand in the minds of a target audience.
  • F. None of above. chosen

Provenance (7 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_69f3498f99f481909cb271f4965a7594 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7308a096081909d66a56f3c926806 completed May 3, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_6a366595c6e4819090c998764d9b66e9 completed June 20, 2026, 10:04 a.m.
NEDg Description generation batch_6a366681d7b081909116d5a094c1e407 completed June 20, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a3666ebe7ec8190a279f7eb183cf157 completed June 20, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69f72a00c5f081908b6539d15baf4e12 completed May 3, 2026, 10:57 a.m.
PDg Predicate description generation batch_69f730890a008190a882f7828f1c9162 completed May 3, 2026, 11:24 a.m.
Created at: May 1, 2026, 1:46 a.m.