Triple

T16060510
Position Surface form Disambiguated ID Type / Status
Subject Baix Camp E389596 entity
Predicate containsMunicipality P852 FINISHED
Object Vilaplana
Vilaplana is a small municipality in the Baix Camp comarca of the province of Tarragona in Catalonia, Spain.
E1191105 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: Vilaplana | Statement: [Baix Camp, containsMunicipality, Vilaplana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilaplana
Context triple: [Baix Camp, containsMunicipality, Vilaplana]
  • A. Vilalba
    Vilalba is a town in the province of Lugo in Galicia, northwestern Spain, known as the birthplace of several notable Galician political and cultural figures.
  • B. Puyarruego
    Puyarruego is a small village in the Spanish Pyrenees known as a gateway to the scenic Añisclo Canyon in Ordesa y Monte Perdido National Park.
  • C. Peñarrubia
    Peñarrubia is a municipality in the province of Abra in the Philippines, known for its rural landscape and small, predominantly agricultural communities.
  • D. Villagarzón
    Villagarzón is a municipality and town located in the Putumayo Department of southern Colombia, known for its rainforest environment and agricultural activities.
  • E. Valle de Tena
    Valle de Tena is a scenic Pyrenean valley in northeastern Spain known for its mountain landscapes, ski resorts, and outdoor recreation.
  • 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: Vilaplana
Triple: [Baix Camp, containsMunicipality, Vilaplana]
Generated description
Vilaplana is a small municipality in the Baix Camp comarca of the province of Tarragona in Catalonia, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vilaplana
Target entity description: Vilaplana is a small municipality in the Baix Camp comarca of the province of Tarragona in Catalonia, Spain.
  • A. Vilalba
    Vilalba is a town in the province of Lugo in Galicia, northwestern Spain, known as the birthplace of several notable Galician political and cultural figures.
  • B. Puyarruego
    Puyarruego is a small village in the Spanish Pyrenees known as a gateway to the scenic Añisclo Canyon in Ordesa y Monte Perdido National Park.
  • C. Peñarrubia
    Peñarrubia is a municipality in the province of Abra in the Philippines, known for its rural landscape and small, predominantly agricultural communities.
  • D. Villagarzón
    Villagarzón is a municipality and town located in the Putumayo Department of southern Colombia, known for its rainforest environment and agricultural activities.
  • E. Valle de Tena
    Valle de Tena is a scenic Pyrenean valley in northeastern Spain known for its mountain landscapes, ski resorts, and outdoor recreation.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1837850288190910ef37d6484c600 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffdbe88a608190bc0a0cbfdb71e81d completed May 10, 2026, 1:14 a.m.
NEDg Description generation batch_69ffdce9591c81909e6bb5c13ddf84cd completed May 10, 2026, 1:18 a.m.
NED2 Entity disambiguation (via description) batch_69ffddb0ff848190ace70b55d9861040 completed May 10, 2026, 1:21 a.m.
Created at: April 10, 2026, 4:57 a.m.