Triple

T10769552
Position Surface form Disambiguated ID Type / Status
Subject Raval Campus E254038 entity
Predicate locatedIn P40 FINISHED
Object Raval
Raval is a historic and culturally diverse neighborhood in central Barcelona, Spain, known for its vibrant street life, arts scene, and mix of old and new architecture.
 E884797 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: Raval | Statement: [Raval Campus, locatedIn, Raval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Raval
Context triple: [Raval Campus, locatedIn, Raval]
  • A. Matadepera
    Matadepera is a municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its residential character and proximity to the Sant Llorenç del Munt i l'Obac Natural Park.
  • B. Barrio Bajo
    Barrio Bajo is the lower neighborhood district of Trévélez, a mountain village in Spain’s Alpujarras region.
  • C. El Realejo
    El Realejo is a historic coastal town and former colonial port in northwestern Nicaragua.
  • D. Barri Vell
    Barri Vell is the historic old quarter of Girona, known for its medieval streets, ancient city walls, and well-preserved architectural heritage.
  • E. Obarrio
    Obarrio is a prominent upscale neighborhood in Panama City known for its concentration of banks, corporate offices, and modern high-rise buildings.
  • 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: Raval
Triple: [Raval Campus, locatedIn, Raval]
Generated description
Raval is a historic and culturally diverse neighborhood in central Barcelona, Spain, known for its vibrant street life, arts scene, and mix of old and new architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Raval
Target entity description: Raval is a historic and culturally diverse neighborhood in central Barcelona, Spain, known for its vibrant street life, arts scene, and mix of old and new architecture.
  • A. Matadepera
    Matadepera is a municipality in the Vallès Occidental comarca of Catalonia, Spain, known for its residential character and proximity to the Sant Llorenç del Munt i l'Obac Natural Park.
  • B. Barrio Bajo
    Barrio Bajo is the lower neighborhood district of Trévélez, a mountain village in Spain’s Alpujarras region.
  • C. El Realejo
    El Realejo is a historic coastal town and former colonial port in northwestern Nicaragua.
  • D. Barri Vell
    Barri Vell is the historic old quarter of Girona, known for its medieval streets, ancient city walls, and well-preserved architectural heritage.
  • E. Obarrio
    Obarrio is a prominent upscale neighborhood in Panama City known for its concentration of banks, corporate offices, and modern high-rise buildings.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732307fb88190ba1447f68523c58a completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23798af48190874d7e12c5155913 completed April 14, 2026, 11:22 a.m.
NEDg Description generation batch_69de271fb08c8190a44c547083226fd8 completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cecc24c8190a240366e0600426a completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:16 p.m.