Triple

T10769221
Position Surface form Disambiguated ID Type / Status
Subject Moianès E254030 entity
Predicate contains P35 FINISHED
Object Granera
Granera is a small rural municipality in the Moianès comarca of central Catalonia, Spain, known for its scenic landscapes and historic castle.
E884786 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: Granera | Statement: [Moianès, contains, Granera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Granera
Context triple: [Moianès, contains, Granera]
  • A. La Granja
    La Granja is a commune in Santiago Province, Chile, known as a primarily residential area within the Greater Santiago metropolitan region.
  • B. Granja do Torto
    Granja do Torto is a rural presidential retreat near Brasília used as a secondary residence and working farm for the President of Brazil.
  • C. Graneros
    Graneros is a Chilean city located in the agricultural Cachapoal Valley of the O'Higgins Region, known for its farming activities and proximity to the regional capital, Rancagua.
  • D. Farmgate
    Farmgate is a major commercial and transportation hub in Dhaka, Bangladesh, known for its dense markets, offices, and heavy traffic.
  • E. The Farm
    The Farm is a notorious criminal stronghold and torture site in the fictional noir setting of Basin City from Frank Miller's "Sin City" series.
  • 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: Granera
Triple: [Moianès, contains, Granera]
Generated description
Granera is a small rural municipality in the Moianès comarca of central Catalonia, Spain, known for its scenic landscapes and historic castle.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Granera
Target entity description: Granera is a small rural municipality in the Moianès comarca of central Catalonia, Spain, known for its scenic landscapes and historic castle.
  • A. La Granja
    La Granja is a commune in Santiago Province, Chile, known as a primarily residential area within the Greater Santiago metropolitan region.
  • B. Granja do Torto
    Granja do Torto is a rural presidential retreat near Brasília used as a secondary residence and working farm for the President of Brazil.
  • C. Graneros
    Graneros is a Chilean city located in the agricultural Cachapoal Valley of the O'Higgins Region, known for its farming activities and proximity to the regional capital, Rancagua.
  • D. Farmgate
    Farmgate is a major commercial and transportation hub in Dhaka, Bangladesh, known for its dense markets, offices, and heavy traffic.
  • E. The Farm
    The Farm is a notorious criminal stronghold and torture site in the fictional noir setting of Basin City from Frank Miller's "Sin City" series.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d732307fb88190ba1447f68523c58a completed April 9, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69de23798af48190874d7e12c5155913 completed April 14, 2026, 11:22 a.m.
NEDg Description generation batch_69de271fb08c8190a44c547083226fd8 completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cecc24c8190a240366e0600426a completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:16 p.m.