Triple

T17497107
Position Surface form Disambiguated ID Type / Status
Subject Ferrolterra E426091 entity
Predicate hasMunicipality P847 FINISHED
Object As Somozas
As Somozas is a small rural municipality in the province of A Coruña, in the autonomous community of Galicia in northwestern Spain.
E1271879 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: As Somozas | Statement: [Ferrolterra, hasMunicipality, As Somozas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: As Somozas
Context triple: [Ferrolterra, hasMunicipality, As Somozas]
  • A. Somosomo
    Somosomo is a coastal village on the Fijian island of Taveuni, known as a traditional center of chiefly authority and local administration.
  • B. Barraza
    Barraza is a Spanish-language surname most notably associated with Mexican actress and director Adriana Barraza.
  • C. Hazo
    Hazo is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Nahor, Abraham’s brother.
  • D. Samor
    Samor is a regional dialect of the Tugen language spoken by the Tugen people of Kenya.
  • E. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • 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: As Somozas
Triple: [Ferrolterra, hasMunicipality, As Somozas]
Generated description
As Somozas is a small rural municipality in the province of A Coruña, in the autonomous community of Galicia in northwestern Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: As Somozas
Target entity description: As Somozas is a small rural municipality in the province of A Coruña, in the autonomous community of Galicia in northwestern Spain.
  • A. Somosomo
    Somosomo is a coastal village on the Fijian island of Taveuni, known as a traditional center of chiefly authority and local administration.
  • B. Barraza
    Barraza is a Spanish-language surname most notably associated with Mexican actress and director Adriana Barraza.
  • C. Hazo
    Hazo is a minor biblical figure mentioned in the Book of Genesis as one of the sons of Nahor, Abraham’s brother.
  • D. Samor
    Samor is a regional dialect of the Tugen language spoken by the Tugen people of Kenya.
  • E. Rollán
    Rollán is the Spanish family name of actress Maribel Verdú, known for her prominent roles in Spanish and international cinema.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4520f6790819092c36e0e4ecc4cd3 completed April 19, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c204c53c81909a9b3543bccc4fae completed May 11, 2026, 11:48 a.m.
NEDg Description generation batch_6a01c3112120819088d102c341aab170 completed May 11, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a01c38e58e08190a1fc3a3e1738d6b0 completed May 11, 2026, 11:54 a.m.
Created at: April 10, 2026, 5:48 a.m.