Triple

T5533378
Position Surface form Disambiguated ID Type / Status
Subject Generalife E145101 entity
Predicate near P350 FINISHED
Object Albayzín
Albayzín is the historic Moorish quarter of Granada, Spain, known for its narrow winding streets, whitewashed houses, and iconic views of the Alhambra.
 E531204 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: Albayzín | Statement: [Generalife, near, Albayzín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Albayzín
Context triple: [Generalife, near, Albayzín]
  • A. Temara
    Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
  • B. Baltasar
    Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
  • C. Quarazza
    Quarazza is a small hamlet in northern Italy associated with the alpine municipality of Macugnaga in the Piedmont region.
  • D. Mirzam
    Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
  • E. Franconero
    Franconero is the birth surname of American pop singer Connie Francis, one of the most successful female vocalists of the late 1950s and early 1960s.
  • 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: Albayzín
Triple: [Generalife, near, Albayzín]
Generated description
Albayzín is the historic Moorish quarter of Granada, Spain, known for its narrow winding streets, whitewashed houses, and iconic views of the Alhambra.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Albayzín
Target entity description: Albayzín is the historic Moorish quarter of Granada, Spain, known for its narrow winding streets, whitewashed houses, and iconic views of the Alhambra.
  • A. Temara
    Temara is a coastal city in northwestern Morocco, situated just south of Rabat and known for its beaches and growing residential and industrial areas.
  • B. Baltasar
    Baltasar is a variant of the name Belshazzar, historically associated with the last king of Babylon mentioned in the biblical Book of Daniel.
  • C. Quarazza
    Quarazza is a small hamlet in northern Italy associated with the alpine municipality of Macugnaga in the Piedmont region.
  • D. Mirzam
    Mirzam is a bright blue-white giant star in the constellation Canis Major, known as one of the prominent stars near Sirius in the winter sky.
  • E. Franconero
    Franconero is the birth surname of American pop singer Connie Francis, one of the most successful female vocalists of the late 1950s and early 1960s.
  • 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_69c008f9955881909bfa8348b56b4739 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f9ea2c88190a68642f5799bd8ff completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0280cb42c8190bf5ba546aca5edce completed March 22, 2026, 5:34 p.m.
NEDg Description generation batch_69c03f22df188190a63f9bf328e2bbba completed March 22, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69c03fb5e34481908b260735bb299254 completed March 22, 2026, 7:15 p.m.
Created at: March 22, 2026, 3:34 p.m.