Triple

T14500658
Position Surface form Disambiguated ID Type / Status
Subject Playa, Havana E359624 entity
Predicate contains P35 FINISHED
Object Atabey
Atabey is a notable venue or establishment located within the Playa municipality of Havana, Cuba.
E1102546 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: Atabey | Statement: [Playa, Havana, contains, Atabey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Atabey
Context triple: [Playa, Havana, contains, Atabey]
  • A. Alaybey
    Alaybey is a neighborhood and tram stop area in the Karşıyaka district of İzmir, Turkey, integrated into the city's modern public transportation network.
  • B. Ayaş
    Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
  • C. Abunayyan
    Abunayyan is a prominent Saudi family name associated with influential figures in business and public life in Saudi Arabia.
  • D. Kurnub
    Kurnub is an alternative name for Mamshit, an ancient Nabatean caravan town and archaeological site in the Negev Desert of Israel.
  • E. Aydin
    Aydin is a given name used as a variant of Aidan, found in various cultures and spellings.
  • 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: Atabey
Triple: [Playa, Havana, contains, Atabey]
Generated description
Atabey is a notable venue or establishment located within the Playa municipality of Havana, Cuba.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Atabey
Target entity description: Atabey is a notable venue or establishment located within the Playa municipality of Havana, Cuba.
  • A. Alaybey
    Alaybey is a neighborhood and tram stop area in the Karşıyaka district of İzmir, Turkey, integrated into the city's modern public transportation network.
  • B. Ayaş
    Ayaş is a small historic town and district in central Turkey known for its thermal springs and traditional architecture.
  • C. Abunayyan
    Abunayyan is a prominent Saudi family name associated with influential figures in business and public life in Saudi Arabia.
  • D. Kurnub
    Kurnub is an alternative name for Mamshit, an ancient Nabatean caravan town and archaeological site in the Negev Desert of Israel.
  • E. Aydin
    Aydin is a given name used as a variant of Aidan, found in various cultures and spellings.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de94dfe484819086dd971606e6478e completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9b6f7481908b7eb76226a93545 completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6efed3108190a524c64adf740303 completed May 8, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fd6f8648408190aed910a7f269abee completed May 8, 2026, 5:07 a.m.
Created at: April 10, 2026, 1:21 a.m.