Triple

T3640526
Position Surface form Disambiguated ID Type / Status
Subject José Rodríguez Carballo E77176 entity
Predicate placeOfBirth P1 FINISHED
Object Lodoselo
Lodoselo is a small village in the municipality of Sarreaus, in the province of Ourense, Galicia, Spain.
E375796 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: Lodoselo | Statement: [José Rodríguez Carballo, placeOfBirth, Lodoselo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lodoselo
Context triple: [José Rodríguez Carballo, placeOfBirth, Lodoselo]
  • A. Leova
    Leova is a small town in southwestern Moldova known for its location near the border with Romania and its position along the Prut River.
  • B. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • C. Nespolo
    Nespolo is a small Italian municipality located in the Lazio region, known for its rural character and scenic Apennine surroundings.
  • D. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • E. Muanisolo
    Muanisolo is a village located on Kadavu Island in Fiji, known for its traditional Fijian rural lifestyle and coastal setting.
  • 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: Lodoselo
Triple: [José Rodríguez Carballo, placeOfBirth, Lodoselo]
Generated description
Lodoselo is a small village in the municipality of Sarreaus, in the province of Ourense, Galicia, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lodoselo
Target entity description: Lodoselo is a small village in the municipality of Sarreaus, in the province of Ourense, Galicia, Spain.
  • A. Leova
    Leova is a small town in southwestern Moldova known for its location near the border with Romania and its position along the Prut River.
  • B. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • C. Nespolo
    Nespolo is a small Italian municipality located in the Lazio region, known for its rural character and scenic Apennine surroundings.
  • D. Echenique
    Echenique is a Spanish-language surname of Basque origin borne by various notable figures in politics, arts, and public life across the Spanish-speaking world.
  • E. Muanisolo
    Muanisolo is a village located on Kadavu Island in Fiji, known for its traditional Fijian rural lifestyle and coastal setting.
  • 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_69ad85dd0be48190b738990cb20c4731 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc357c3308190bd8801d68244a53e completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f2a8a5c8190b84dcf4b4b8a939e completed March 13, 2026, 5:53 p.m.
NEDg Description generation batch_69b45292546c81909770dcd6239dbda3 completed March 13, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69b45f76fcc48190bab9bc6ce83700eb completed March 13, 2026, 7:03 p.m.
Created at: March 8, 2026, 3:24 p.m.