Triple

T17087755
Position Surface form Disambiguated ID Type / Status
Subject Lousã E414642 entity
Predicate hasParish P35 FINISHED
Object Gândaras
Gândaras is a civil parish located in the municipality of Lousã in central Portugal.
 E1249142 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: Gândaras | Statement: [Lousã, hasParish, Gândaras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gândaras
Context triple: [Lousã, hasParish, Gândaras]
  • A. Gharsana
    Gharsana is a town in the arid northwestern region of Rajasthan, India, known for its agriculture supported by canal irrigation and its proximity to the India–Pakistan border.
  • B. Gradara
    Gradara is a medieval hilltop town in Italy’s Marche region, renowned for its well-preserved castle and association with the tragic love story of Paolo and Francesca.
  • C. Menetes
    Menetes is a traditional mountain village on the Greek island of Karpathos, known for its colorful houses, narrow alleys, and panoramic views over the Aegean Sea.
  • D. Menetes
    Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
  • E. Characene
    Characene was an ancient kingdom and important trading state located in the northern Persian Gulf region, centered around the city of Charax Spasinu.
  • 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: Gândaras
Triple: [Lousã, hasParish, Gândaras]
Generated description
Gândaras is a civil parish located in the municipality of Lousã in central Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gândaras
Target entity description: Gândaras is a civil parish located in the municipality of Lousã in central Portugal.
  • A. Gharsana
    Gharsana is a town in the arid northwestern region of Rajasthan, India, known for its agriculture supported by canal irrigation and its proximity to the India–Pakistan border.
  • B. Gradara
    Gradara is a medieval hilltop town in Italy’s Marche region, renowned for its well-preserved castle and association with the tragic love story of Paolo and Francesca.
  • C. Menetes
    Menetes is a traditional mountain village on the Greek island of Karpathos, known for its colorful houses, narrow alleys, and panoramic views over the Aegean Sea.
  • D. Menetes
    Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
  • E. Characene
    Characene was an ancient kingdom and important trading state located in the northern Persian Gulf region, centered around the city of Charax Spasinu.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe92e488190b947287a968086d5 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee81fd08190a7e1f5958fbe3b97 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012ff7788c819086b2e6c0e382014c completed May 11, 2026, 1:25 a.m.
NED2 Entity disambiguation (via description) batch_6a0130dbe1f8819095b2d36882bf3287 completed May 11, 2026, 1:29 a.m.
Created at: April 10, 2026, 5:35 a.m.