Triple

T11379697
Position Surface form Disambiguated ID Type / Status
Subject Gijón E269560 entity
Predicate hasHarbor P3007 FINISHED
Object El Musel
El Musel is the main commercial and industrial seaport of Gijón in northern Spain, serving as a key hub for maritime trade in the region.
 E922342 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 Musel | Statement: [Gijón, hasHarbor, El Musel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: El Musel
Context triple: [Gijón, hasHarbor, El Musel]
  • A. Le Barcarès
    Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
  • B. Le Muy
    Le Muy is a commune in southeastern France’s Var department, known for its Provençal character and location near the Mediterranean coast.
  • C. Le Suquet
    Le Suquet is the historic old quarter of Cannes, known for its steep cobbled streets, medieval architecture, and panoramic views over the city and harbor.
  • D. Les Milles
    Les Milles is a French historical drama film centered on World War II-era events at an internment camp in southern France.
  • E. La Sieste
    La Sieste is a colorful, light-filled Fauvist painting by French artist Henri Manguin, exemplifying his sensuous, Mediterranean-inspired style.
  • 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 Musel
Triple: [Gijón, hasHarbor, El Musel]
Generated description
El Musel is the main commercial and industrial seaport of Gijón in northern Spain, serving as a key hub for maritime trade in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: El Musel
Target entity description: El Musel is the main commercial and industrial seaport of Gijón in northern Spain, serving as a key hub for maritime trade in the region.
  • A. Le Barcarès
    Le Barcarès is a coastal commune in southern France on the Mediterranean Sea, known for its beaches, marina, and tourism.
  • B. Le Muy
    Le Muy is a commune in southeastern France’s Var department, known for its Provençal character and location near the Mediterranean coast.
  • C. Le Suquet
    Le Suquet is the historic old quarter of Cannes, known for its steep cobbled streets, medieval architecture, and panoramic views over the city and harbor.
  • D. Les Milles
    Les Milles is a French historical drama film centered on World War II-era events at an internment camp in southern France.
  • E. La Sieste
    La Sieste is a colorful, light-filled Fauvist painting by French artist Henri Manguin, exemplifying his sensuous, Mediterranean-inspired style.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc30f5d48190bb273df4c9e583a9 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e556a10f988190b173dc4880a8c6c6 completed April 19, 2026, 10:26 p.m.
NEDg Description generation batch_69e562c8fb948190be87cca65c3b74e1 completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56aaa5c9081909f89cfe6a8fc03f0 completed April 19, 2026, 11:52 p.m.
Created at: April 8, 2026, 9:34 p.m.