Triple

T3658441
Position Surface form Disambiguated ID Type / Status
Subject Portugal e o Futuro E77590 entity
Predicate publisher P29 FINISHED
Object Arcádia
Arcádia was a Portuguese publishing house known for releasing influential literary and political works in the mid-20th century.
 E384181 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: Arcádia | Statement: [Portugal e o Futuro, publisher, Arcádia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arcádia
Context triple: [Portugal e o Futuro, publisher, Arcádia]
  • A. Argolid
    Argolid is a historic region in the northeastern Peloponnese of Greece, renowned as the heartland of several major Bronze Age and classical Greek centers.
  • B. Lakonia
    Lakonia is a region in the southeastern part of the Peloponnese in Greece, historically known as the homeland of ancient Sparta.
  • C. Achaea
    Achaea is a historical and geographical region in northern Peloponnese, Greece, known from ancient times for its coastal cities and role in Greek history.
  • D. Thessaly
    Thessaly is a historical and geographical region in central Greece known for its fertile plains, ancient cities, and proximity to landmarks like Mount Olympus and Meteora.
  • E. Phocis
    Phocis was an ancient region in central Greece, notable for encompassing the sacred sanctuary and oracle of Delphi.
  • 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: Arcádia
Triple: [Portugal e o Futuro, publisher, Arcádia]
Generated description
Arcádia was a Portuguese publishing house known for releasing influential literary and political works in the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arcádia
Target entity description: Arcádia was a Portuguese publishing house known for releasing influential literary and political works in the mid-20th century.
  • A. Argolid
    Argolid is a historic region in the northeastern Peloponnese of Greece, renowned as the heartland of several major Bronze Age and classical Greek centers.
  • B. Lakonia
    Lakonia is a region in the southeastern part of the Peloponnese in Greece, historically known as the homeland of ancient Sparta.
  • C. Achaea
    Achaea is a historical and geographical region in northern Peloponnese, Greece, known from ancient times for its coastal cities and role in Greek history.
  • D. Thessaly
    Thessaly is a historical and geographical region in central Greece known for its fertile plains, ancient cities, and proximity to landmarks like Mount Olympus and Meteora.
  • E. Phocis
    Phocis was an ancient region in central Greece, notable for encompassing the sacred sanctuary and oracle of Delphi.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3d48a2081908ac0f76d548a53ee completed March 8, 2026, 6:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4dafa96ac81908cda04ca12722460 completed March 14, 2026, 3:50 a.m.
NEDg Description generation batch_69b4dbd0b6e88190a857afe3c1041788 completed March 14, 2026, 3:53 a.m.
NED2 Entity disambiguation (via description) batch_69b4dc5114ec8190aee92e21a48ae268 completed March 14, 2026, 3:56 a.m.
Created at: March 8, 2026, 3:25 p.m.