Triple

T3096981
Position Surface form Disambiguated ID Type / Status
Subject Angra do Heroísmo E64618 entity
Predicate hasParish P35 FINISHED
Object Feteira
Feteira is a civil parish in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
 E327504 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: Feteira | Statement: [Angra do Heroísmo, hasParish, Feteira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Feteira
Context triple: [Angra do Heroísmo, hasParish, Feteira]
  • A. Paderne
    Paderne is a historic village in Portugal’s Algarve region, known for its medieval castle and traditional rural character.
  • B. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • C. Gravedona
    Gravedona is a picturesque town on the shores of Lake Como in northern Italy, known for its historic churches and scenic lakeside setting.
  • D. Fagasa
    Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
  • E. Felanitx
    Felanitx is a historic inland town and wine-producing municipality in the southeast of the Spanish island of Mallorca.
  • 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: Feteira
Triple: [Angra do Heroísmo, hasParish, Feteira]
Generated description
Feteira is a civil parish in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Feteira
Target entity description: Feteira is a civil parish in the municipality of Angra do Heroísmo on Terceira Island in the Azores, Portugal.
  • A. Paderne
    Paderne is a historic village in Portugal’s Algarve region, known for its medieval castle and traditional rural character.
  • B. Tasqueña
    Tasqueña is a major transit hub and southern terminus of Mexico City’s Metro Line 2, integrating metro, light rail, and bus services.
  • C. Gravedona
    Gravedona is a picturesque town on the shores of Lake Como in northern Italy, known for its historic churches and scenic lakeside setting.
  • D. Fagasa
    Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
  • E. Felanitx
    Felanitx is a historic inland town and wine-producing municipality in the southeast of the Spanish island of Mallorca.
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23cbe3c8190b7ec5cfd464a1ca8 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2037483fc8190b8343faa58fb9893 completed March 12, 2026, 12:06 a.m.
NEDg Description generation batch_69b204a8c5348190a2cb102b08fd6fa5 completed March 12, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_69b205bdf5c881908bc6ef7c3c30df65 completed March 12, 2026, 12:15 a.m.
Created at: March 8, 2026, 3:03 p.m.