Triple

T3271042
Position Surface form Disambiguated ID Type / Status
Subject Ponta Delgada E68647 entity
Predicate hasParish P35 FINISHED
Object Relva
Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
 E342601 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: Relva | Statement: [Ponta Delgada, hasParish, Relva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Relva
Context triple: [Ponta Delgada, hasParish, Relva]
  • A. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • B. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • C. Dovadola
    Dovadola is a small Italian town and municipality in the Emilia-Romagna region, known for its historic center and scenic location in the Apennine foothills.
  • D. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • E. Faraulep
    Faraulep is a small atoll and municipality in the Federated States of Micronesia, located in the western Pacific Ocean as part of Yap State.
  • 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: Relva
Triple: [Ponta Delgada, hasParish, Relva]
Generated description
Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Relva
Target entity description: Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
  • A. Velda
    Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
  • B. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • C. Dovadola
    Dovadola is a small Italian town and municipality in the Emilia-Romagna region, known for its historic center and scenic location in the Apennine foothills.
  • D. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • E. Faraulep
    Faraulep is a small atoll and municipality in the Federated States of Micronesia, located in the western Pacific Ocean as part of Yap State.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff4b9dc8190b7e3da0bbffccf99 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28f02a620819091356c965b2aceef completed March 12, 2026, 10:01 a.m.
NEDg Description generation batch_69b296709f84819094fe9db721a44f83 completed March 12, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69b2d6c47e908190b5be5b33da358ade completed March 12, 2026, 3:07 p.m.
Created at: March 8, 2026, 3:09 p.m.