Triple

T15939149
Position Surface form Disambiguated ID Type / Status
Subject La Rinconada E386513 entity
Predicate hasNeighbouringMunicipality P224 FINISHED
Object La Algaba
La Algaba is a municipality in the province of Seville, Spain, known for its historic architecture and location along the Guadalquivir River.
E1185428 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: La Algaba | Statement: [La Rinconada, hasNeighbouringMunicipality, La Algaba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Algaba
Context triple: [La Rinconada, hasNeighbouringMunicipality, La Algaba]
  • A. El Maasara
    El Maasara is a district and suburban area in the southern part of Greater Cairo, Egypt, known for its residential neighborhoods and industrial zones.
  • B. Alfarràs
    Alfarràs is a small municipality in the comarca of Segrià in Catalonia, northeastern Spain.
  • C. Alajeró
    Alajeró is a small coastal and rural municipality on the island of La Gomera in Spain’s Canary Islands, known for its rugged landscapes and traditional Canarian character.
  • D. Altafulla
    Altafulla is a coastal town in Catalonia, Spain, known for its historic old quarter, sandy beaches, and well-preserved Roman and medieval heritage.
  • E. Zuera
    Zuera is a municipality in northeastern Spain located within the autonomous community of Aragon.
  • 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: La Algaba
Triple: [La Rinconada, hasNeighbouringMunicipality, La Algaba]
Generated description
La Algaba is a municipality in the province of Seville, Spain, known for its historic architecture and location along the Guadalquivir River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: La Algaba
Target entity description: La Algaba is a municipality in the province of Seville, Spain, known for its historic architecture and location along the Guadalquivir River.
  • A. El Maasara
    El Maasara is a district and suburban area in the southern part of Greater Cairo, Egypt, known for its residential neighborhoods and industrial zones.
  • B. Alfarràs
    Alfarràs is a small municipality in the comarca of Segrià in Catalonia, northeastern Spain.
  • C. Alajeró
    Alajeró is a small coastal and rural municipality on the island of La Gomera in Spain’s Canary Islands, known for its rugged landscapes and traditional Canarian character.
  • D. Altafulla
    Altafulla is a coastal town in Catalonia, Spain, known for its historic old quarter, sandy beaches, and well-preserved Roman and medieval heritage.
  • E. Zuera
    Zuera is a municipality in northeastern Spain located within the autonomous community of Aragon.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156ad9988819089ad7822e0f46177 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5ba070c8190b6af6cb21bddd7f1 completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb77a69188190a7b4910a0ce2534c completed May 9, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_69ffbbcd0a948190972ddf2202faa85b completed May 9, 2026, 10:57 p.m.
Created at: April 10, 2026, 4:53 a.m.