Triple

T1269704
Position Surface form Disambiguated ID Type / Status
Subject Granada E15680 entity
Predicate formerName P65 FINISHED
Object Gharnāṭa
Gharnāṭa is the historical Arabic name for the city of Granada in southern Spain, renowned as the last Muslim stronghold in the Iberian Peninsula and home to the Alhambra palace.
 E148480 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: Gharnāṭa | Statement: [Granada, formerName, Gharnāṭa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gharnāṭa
Context triple: [Granada, formerName, Gharnāṭa]
  • A. Mathura
    Mathura is an ancient city in northern India revered in Hinduism as the birthplace of Lord Krishna and a major pilgrimage center.
  • B. Hastinapura
    Hastinapura is the ancient royal capital of the Kuru kingdom in Indian epic tradition, serving as the primary political and familial setting of the Mahabharata.
  • C. Kathiawari
    Kathiawari is a regional dialect of Gujarati spoken primarily in the Saurashtra (Kathiawar) peninsula of western India, known for its distinct phonetic and lexical features.
  • D. Dahanapura
    Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
  • E. Balaghat
    Balaghat is a city in the Indian state of Madhya Pradesh known for its rich mineral resources, especially manganese and copper, and its proximity to forested and wildlife-rich areas.
  • 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: Gharnāṭa
Triple: [Granada, formerName, Gharnāṭa]
Generated description
Gharnāṭa is the historical Arabic name for the city of Granada in southern Spain, renowned as the last Muslim stronghold in the Iberian Peninsula and home to the Alhambra palace.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gharnāṭa
Target entity description: Gharnāṭa is the historical Arabic name for the city of Granada in southern Spain, renowned as the last Muslim stronghold in the Iberian Peninsula and home to the Alhambra palace.
  • A. Mathura
    Mathura is an ancient city in northern India revered in Hinduism as the birthplace of Lord Krishna and a major pilgrimage center.
  • B. Hastinapura
    Hastinapura is the ancient royal capital of the Kuru kingdom in Indian epic tradition, serving as the primary political and familial setting of the Mahabharata.
  • C. Kathiawari
    Kathiawari is a regional dialect of Gujarati spoken primarily in the Saurashtra (Kathiawar) peninsula of western India, known for its distinct phonetic and lexical features.
  • D. Dahanapura
    Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
  • E. Balaghat
    Balaghat is a city in the Indian state of Madhya Pradesh known for its rich mineral resources, especially manganese and copper, and its proximity to forested and wildlife-rich areas.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c0691d70819088e57c78ff34af1e completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb2fd091081908f4a60d7ce300c90 completed March 7, 2026, 11:21 p.m.
NEDg Description generation batch_69acb364f2d88190b20ad87001349562 completed March 7, 2026, 11:23 p.m.
NED2 Entity disambiguation (via description) batch_69acb3ce7720819095558536e0a978b8 completed March 7, 2026, 11:25 p.m.
Created at: March 1, 2026, 7:50 p.m.