Triple

T13946622
Position Surface form Disambiguated ID Type / Status
Subject Gulf of Almería E335400 entity
Predicate hasNearbyTown P3883 FINISHED
Object Carboneras
Carboneras is a coastal town in Spain’s Almería province, known for its beaches, fishing heritage, and proximity to the Cabo de Gata-Níjar Natural Park.
 E1070547 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: Carboneras | Statement: [Gulf of Almería, hasNearbyTown, Carboneras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Carboneras
Context triple: [Gulf of Almería, hasNearbyTown, Carboneras]
  • A. Carbentus
    Carbentus is a Dutch surname historically borne by Anna Cornelia Carbentus, the mother of painter Vincent van Gogh.
  • B. Numonyx
    Numonyx was a semiconductor company specializing in non-volatile memory solutions, formed as a joint venture by Intel, STMicroelectronics, and Francisco Partners before being acquired by Micron Technology.
  • C. Carbone
    Carbone is a high-end Italian-American restaurant known for its classic New York red-sauce dishes and retro, mid-20th-century ambiance.
  • D. Candalus
    Candalus is a figure from Greek mythology known as a son of Rhode.
  • E. Cosentia
    Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
  • 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: Carboneras
Triple: [Gulf of Almería, hasNearbyTown, Carboneras]
Generated description
Carboneras is a coastal town in Spain’s Almería province, known for its beaches, fishing heritage, and proximity to the Cabo de Gata-Níjar Natural Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Carboneras
Target entity description: Carboneras is a coastal town in Spain’s Almería province, known for its beaches, fishing heritage, and proximity to the Cabo de Gata-Níjar Natural Park.
  • A. Carbentus
    Carbentus is a Dutch surname historically borne by Anna Cornelia Carbentus, the mother of painter Vincent van Gogh.
  • B. Numonyx
    Numonyx was a semiconductor company specializing in non-volatile memory solutions, formed as a joint venture by Intel, STMicroelectronics, and Francisco Partners before being acquired by Micron Technology.
  • C. Carbone
    Carbone is a high-end Italian-American restaurant known for its classic New York red-sauce dishes and retro, mid-20th-century ambiance.
  • D. Candalus
    Candalus is a figure from Greek mythology known as a son of Rhode.
  • E. Cosentia
    Cosentia is the ancient Latin name of the city now known as Cosenza in southern Italy, historically an important center of the Bruttii in Calabria.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e10f60c81908ee9636e85c070ff completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce903c5c8190b72d83a5b842ad70 completed May 3, 2026, 10:39 p.m.
NEDg Description generation batch_69f9fd5d4abc8190aa10d9f1c9f7f9c9 completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69fb14bfa2c081908381bb74f040c6c8 completed May 6, 2026, 10:15 a.m.
Created at: April 9, 2026, 10:17 p.m.