Triple

T21686824
Position Surface form Disambiguated ID Type / Status
Subject Faris E535250 entity
Predicate hasVariant P455 FINISHED
Object Fares
Fares is a masculine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
E1496855 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: Fares | Statement: [Faris, hasVariant, Fares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fares
Context triple: [Faris, hasVariant, Fares]
  • A. Fare
    Fare is the main village and administrative center of the island of Huahine in French Polynesia, serving as its primary hub for commerce and transportation.
  • B. Taksim
    Taksim is a central district and major transportation and cultural hub on the European side of Istanbul, Turkey.
  • C. Tarifit
    Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • D. MetroRide
    MetroRide is a free downtown Denver circulator bus service providing frequent, short-distance connections within the city center.
  • E. The Price of the Ticket
    The Price of the Ticket is a powerful James Baldwin essay that examines the personal and societal costs of Black existence and identity in the United States.
  • 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: Fares
Triple: [Faris, hasVariant, Fares]
Generated description
Fares is a masculine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fares
Target entity description: Fares is a masculine given name of Arabic origin, commonly used in the Middle East and among Arabic-speaking communities.
  • A. Fare
    Fare is the main village and administrative center of the island of Huahine in French Polynesia, serving as its primary hub for commerce and transportation.
  • B. Taksim
    Taksim is a central district and major transportation and cultural hub on the European side of Istanbul, Turkey.
  • C. Tarifit
    Tarifit is a Northern Berber language spoken primarily by the Riffian people in the Rif region of northern Morocco.
  • D. MetroRide
    MetroRide is a free downtown Denver circulator bus service providing frequent, short-distance connections within the city center.
  • E. The Price of the Ticket
    The Price of the Ticket is a powerful James Baldwin essay that examines the personal and societal costs of Black existence and identity in the United States.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cc31b8819086ca980521f94501 completed April 27, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a1e20fc348190899995c0988d9cc5 completed May 17, 2026, 7:59 p.m.
NEDg Description generation batch_6a0a1ef23b6c8190a0194719c34bb971 completed May 17, 2026, 8:02 p.m.
NED2 Entity disambiguation (via description) batch_6a0a1fc13900819098ee66684dfdff95 completed May 17, 2026, 8:06 p.m.
Created at: April 16, 2026, 6:44 p.m.