Triple

T12769206
Position Surface form Disambiguated ID Type / Status
Subject SeaWorld Abu Dhabi E305201 entity
Predicate operator P179 FINISHED
Object Miral
Miral is an Abu Dhabi–based developer and operator of major leisure and entertainment destinations, including theme parks and attractions on Yas Island.
 E1002645 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: Miral | Statement: [SeaWorld Abu Dhabi, operator, Miral]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Miral
Context triple: [SeaWorld Abu Dhabi, operator, Miral]
  • A. Miral
    Miral is a 2010 drama film directed by Julian Schnabel that follows a young Palestinian woman growing up amid the Israeli–Palestinian conflict.
  • B. Malaika
    "Malaika" is a famous Swahili love song popularized internationally by South African singer and activist Miriam Makeba.
  • C. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • D. Tareeno
    Tareeno is an alternative name for Wanetsi, an Eastern Iranian language closely related to Pashto and spoken primarily in parts of Pakistan and Afghanistan.
  • E. Riri
    Riri is a diminutive form of the given name Henri, often used as an affectionate nickname.
  • 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: Miral
Triple: [SeaWorld Abu Dhabi, operator, Miral]
Generated description
Miral is an Abu Dhabi–based developer and operator of major leisure and entertainment destinations, including theme parks and attractions on Yas Island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Miral
Target entity description: Miral is an Abu Dhabi–based developer and operator of major leisure and entertainment destinations, including theme parks and attractions on Yas Island.
  • A. Miral
    Miral is a 2010 drama film directed by Julian Schnabel that follows a young Palestinian woman growing up amid the Israeli–Palestinian conflict.
  • B. Malaika
    "Malaika" is a famous Swahili love song popularized internationally by South African singer and activist Miriam Makeba.
  • C. Mihna
    The Mihna was an Islamic inquisition instituted in the 9th century that tested and persecuted scholars over their adherence to the doctrine of the createdness of the Qur’an.
  • D. Tareeno
    Tareeno is an alternative name for Wanetsi, an Eastern Iranian language closely related to Pashto and spoken primarily in parts of Pakistan and Afghanistan.
  • E. Riri
    Riri is a diminutive form of the given name Henri, often used as an affectionate nickname.
  • 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_69d7bdf2b43c819098ae5aa68e61ea58 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df3b2f88190b37b696400178795 completed April 10, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f684f750a08190abf6122baa579bc4 completed May 2, 2026, 11:12 p.m.
NEDg Description generation batch_69f6890782c48190ae93866cf39b1c25 completed May 2, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_69f68976b60881908abf5b69b8c37e6e completed May 2, 2026, 11:32 p.m.
Created at: April 9, 2026, 5:28 p.m.