Triple

T14270845
Position Surface form Disambiguated ID Type / Status
Subject Poblats Marítims E353777 entity
Predicate hasPart P35 FINISHED
Object El Canyamelar
El Canyamelar is a historic seaside neighborhood in Valencia, Spain, known for its maritime heritage and traditional urban fabric.
 E1088879 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: El Canyamelar | Statement: [Poblats Marítims, hasPart, El Canyamelar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: El Canyamelar
Context triple: [Poblats Marítims, hasPart, El Canyamelar]
  • A. El Catllar
    El Catllar is a municipality in the Tarragonès region of Catalonia, Spain, known for its historic castle and Mediterranean rural surroundings.
  • B. Las Retamas
    Las Retamas is a station on Madrid Metro’s Line C-5 commuter rail corridor serving the Alcorcón area in the Madrid metropolitan region.
  • C. La Canonja
    La Canonja is a small municipality in Catalonia, Spain, situated near the city of Tarragona on the Mediterranean coast.
  • D. S’Arracó
    S’Arracó is a small, traditional village in the municipality of Andratx on the island of Mallorca, Spain, known for its rural charm and surrounding mountain scenery.
  • E. La Mula ánima
    La Mula ánima is a supernatural mule-like spirit from Chilote mythology, often associated with restless souls and ominous nocturnal apparitions.
  • 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: El Canyamelar
Triple: [Poblats Marítims, hasPart, El Canyamelar]
Generated description
El Canyamelar is a historic seaside neighborhood in Valencia, Spain, known for its maritime heritage and traditional urban fabric.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: El Canyamelar
Target entity description: El Canyamelar is a historic seaside neighborhood in Valencia, Spain, known for its maritime heritage and traditional urban fabric.
  • A. El Catllar
    El Catllar is a municipality in the Tarragonès region of Catalonia, Spain, known for its historic castle and Mediterranean rural surroundings.
  • B. Las Retamas
    Las Retamas is a station on Madrid Metro’s Line C-5 commuter rail corridor serving the Alcorcón area in the Madrid metropolitan region.
  • C. La Canonja
    La Canonja is a small municipality in Catalonia, Spain, situated near the city of Tarragona on the Mediterranean coast.
  • D. S’Arracó
    S’Arracó is a small, traditional village in the municipality of Andratx on the island of Mallorca, Spain, known for its rural charm and surrounding mountain scenery.
  • E. La Mula ánima
    La Mula ánima is a supernatural mule-like spirit from Chilote mythology, often associated with restless souls and ominous nocturnal apparitions.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326a5aec8190b139a0c49fd43705 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd333b49a88190834a5f45fa0fc6c2 completed May 8, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd33bdc8d08190be11f5ccf259cd6a completed May 8, 2026, 12:52 a.m.
Created at: April 10, 2026, 1:10 a.m.