Triple

T3608817
Position Surface form Disambiguated ID Type / Status
Subject Coimbra District E76434 entity
Predicate containsMunicipality P852 FINISHED
Object Mira
Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
E374182 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: Mira | Statement: [Coimbra District, containsMunicipality, Mira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mira
Context triple: [Coimbra District, containsMunicipality, Mira]
  • A. Carina
    Carina is a feminine given name used in various cultures, often associated with meanings like “beloved” or “dear.”
  • B. Mara
    Mara is a surname of Irish origin borne by various notable individuals in fields such as sports, entertainment, and politics.
  • C. Maia
    Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
  • D. Maia
    Maia are powerful immortal spirits in J.R.R. Tolkien’s legendarium who serve the Valar and often act as guides or guardians to the peoples of Middle-earth.
  • E. Miran
    Miran was the son of Mir Jafar, the controversial Nawab of Bengal installed by the British East India Company in the mid-18th century.
  • 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: Mira
Triple: [Coimbra District, containsMunicipality, Mira]
Generated description
Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mira
Target entity description: Mira is a coastal municipality in central Portugal known for its beaches, lagoons, and natural landscapes.
  • A. Carina
    Carina is a feminine given name used in various cultures, often associated with meanings like “beloved” or “dear.”
  • B. Mara
    Mara is a surname of Irish origin borne by various notable individuals in fields such as sports, entertainment, and politics.
  • C. Maia
    Maia are powerful immortal spirits in J.R.R. Tolkien’s legendarium who serve the Valar and often act as guides or guardians to the peoples of Middle-earth.
  • D. Maia
    Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
  • E. Miran
    Miran was the son of Mir Jafar, the controversial Nawab of Bengal installed by the British East India Company in the mid-18th century.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22a3cf081908c20b6fb55be0db2 completed March 8, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4330de7a08190933aa7e9dc0a65be completed March 13, 2026, 3:53 p.m.
NEDg Description generation batch_69b437cf839881909b1d505328285123 completed March 13, 2026, 4:14 p.m.
NED2 Entity disambiguation (via description) batch_69b43835994c81909230bbb21b12b8ef completed March 13, 2026, 4:15 p.m.
Created at: March 8, 2026, 3:22 p.m.