Triple

T16858676
Position Surface form Disambiguated ID Type / Status
Subject Moratalaz E409852 entity
Predicate hasNeighborhood P40 FINISHED
Object Marroquina
Marroquina is a residential neighborhood within the Moratalaz district of Madrid, Spain.
 E1236797 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: Marroquina | Statement: [Moratalaz, hasNeighborhood, Marroquina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marroquina
Context triple: [Moratalaz, hasNeighborhood, Marroquina]
  • A. Socotri
    Socotri is a Modern South Arabian Semitic language spoken primarily on the island of Socotra in Yemen.
  • B. Belgharia
    Belgharia is a suburban locality and residential-commercial area in the northern part of Kolkata, in the Indian state of West Bengal.
  • C. Moor
    A Moor is a historical term used in Europe to refer primarily to Muslim inhabitants of North Africa and, by extension, people of North African or mixed Arab-Berber descent who lived in or influenced parts of the Iberian Peninsula and the Mediterranean.
  • D. Moor
    Moor is the nickname of Moraes Zogoiby, the physically afflicted yet sharp-witted narrator and protagonist of Salman Rushdie’s novel "The Moor’s Last Sigh."
  • E. Maghar
    Maghar is a month in the Nanakshahi calendar used in Sikhism, corresponding roughly to mid-November to mid-December in the Gregorian calendar.
  • 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: Marroquina
Triple: [Moratalaz, hasNeighborhood, Marroquina]
Generated description
Marroquina is a residential neighborhood within the Moratalaz district of Madrid, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marroquina
Target entity description: Marroquina is a residential neighborhood within the Moratalaz district of Madrid, Spain.
  • A. Socotri
    Socotri is a Modern South Arabian Semitic language spoken primarily on the island of Socotra in Yemen.
  • B. Belgharia
    Belgharia is a suburban locality and residential-commercial area in the northern part of Kolkata, in the Indian state of West Bengal.
  • C. Moor
    A Moor is a historical term used in Europe to refer primarily to Muslim inhabitants of North Africa and, by extension, people of North African or mixed Arab-Berber descent who lived in or influenced parts of the Iberian Peninsula and the Mediterranean.
  • D. Moor
    Moor is the nickname of Moraes Zogoiby, the physically afflicted yet sharp-witted narrator and protagonist of Salman Rushdie’s novel "The Moor’s Last Sigh."
  • E. Maghar
    Maghar is a month in the Nanakshahi calendar used in Sikhism, corresponding roughly to mid-November to mid-December in the Gregorian calendar.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37ef4748190b149d98fc0ab4205 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb25300c8190a352037c21c244bd completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbc80d54819092de4ee363508b49 completed May 10, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc633abc8190a86808986ba294ec completed May 10, 2026, 5:12 p.m.
Created at: April 10, 2026, 5:24 a.m.