Triple

T6896468
Position Surface form Disambiguated ID Type / Status
Subject Es Trenc E159381 entity
Predicate hasNearbyTown P3883 FINISHED
Object Campos
Campos is a rural municipality and town in the southeast of Mallorca, Spain, known for its traditional agriculture and proximity to some of the island’s most famous beaches.
 E627697 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: Campos | Statement: [Es Trenc, hasNearbyTown, Campos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Campos
Context triple: [Es Trenc, hasNearbyTown, Campos]
  • A. Cruzcampo
    Cruzcampo is a popular Spanish beer brand known for its Andalusian origins and wide distribution throughout Spain.
  • B. Tierra de Campos
    Tierra de Campos is a vast, historically agricultural plain in northwestern Spain known for its cereal fields, traditional villages, and characteristic flat landscapes.
  • C. Areias
    Areias is a neighborhood within the city of Recife, Brazil, known as part of its urban residential area.
  • D. Pastos
    Pastos is a city in southwestern Colombia known as a historic Andean settlement and regional cultural center.
  • E. Campo de Marte
    Campo de Marte was the historical name of what is now Parque O’Higgins, a major urban park and traditional venue for public events in Santiago, Chile.
  • 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: Campos
Triple: [Es Trenc, hasNearbyTown, Campos]
Generated description
Campos is a rural municipality and town in the southeast of Mallorca, Spain, known for its traditional agriculture and proximity to some of the island’s most famous beaches.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Campos
Target entity description: Campos is a rural municipality and town in the southeast of Mallorca, Spain, known for its traditional agriculture and proximity to some of the island’s most famous beaches.
  • A. Cruzcampo
    Cruzcampo is a popular Spanish beer brand known for its Andalusian origins and wide distribution throughout Spain.
  • B. Tierra de Campos
    Tierra de Campos is a vast, historically agricultural plain in northwestern Spain known for its cereal fields, traditional villages, and characteristic flat landscapes.
  • C. Areias
    Areias is a neighborhood within the city of Recife, Brazil, known as part of its urban residential area.
  • D. Pastos
    Pastos is a city in southwestern Colombia known as a historic Andean settlement and regional cultural center.
  • E. Campo de Marte
    Campo de Marte was the historical name of what is now Parque O’Higgins, a major urban park and traditional venue for public events in Santiago, Chile.
  • 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d95ae3f88190b7f5d440f90ae9f9 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748dfd9608190891c8df48b771e20 completed March 28, 2026, 3:20 a.m.
NEDg Description generation batch_69c749d4b088819095f991f976592d04 completed March 28, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69c74aab12988190bd23cfcc06c55cde completed March 28, 2026, 3:27 a.m.
Created at: March 27, 2026, 2:24 p.m.