Triple

T1952411
Position Surface form Disambiguated ID Type / Status
Subject Las Americas Premium Outlets E42186 entity
Predicate hasBrand P1500 FINISHED
Object Guess
Guess is an American fashion brand known for its trendy denim, apparel, and accessories.
 E219173 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: Guess | Statement: [Las Americas Premium Outlets, hasBrand, Guess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Guess
Context triple: [Las Americas Premium Outlets, hasBrand, Guess]
  • A. Grab
    Grab is a Southeast Asian super-app company best known for its ride-hailing, food delivery, and digital payments services.
  • B. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • C. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • D. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • E. Trick
    Trick is a minor character in the "Arkangel" episode of the anthology television series Black Mirror.
  • 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: Guess
Triple: [Las Americas Premium Outlets, hasBrand, Guess]
Generated description
Guess is an American fashion brand known for its trendy denim, apparel, and accessories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Guess
Target entity description: Guess is an American fashion brand known for its trendy denim, apparel, and accessories.
  • A. Grab
    Grab is a Southeast Asian super-app company best known for its ride-hailing, food delivery, and digital payments services.
  • B. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • C. GD
    GD is the vehicle registration code used on license plates for cars registered in the city of Gdańsk, Poland.
  • D. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • E. Trick
    Trick is a minor character in the "Arkangel" episode of the anthology television series Black Mirror.
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3501d108190bc5cb23f53db4411 completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbc611fc8190b2f512c744cbc364 completed March 8, 2026, 10:44 p.m.
NEDg Description generation batch_69adfc8efb0c81908bce5a4a13359801 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfd8115d481909716e11b943cbf61 completed March 8, 2026, 10:51 p.m.
Created at: March 4, 2026, 7:36 p.m.