Triple

T4402906
Position Surface form Disambiguated ID Type / Status
Subject Pernå E93657 entity
Predicate hasNameInFinnish P23453 FINISHED
Object Pernaja
Pernaja is a former municipality and coastal village in southern Finland, now part of the town of Loviisa.
 E438210 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: Pernaja | Statement: [Pernå, hasNameInFinnish, Pernaja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pernaja
Context triple: [Pernå, hasNameInFinnish, Pernaja]
  • A. Peren
    Peren is a town and administrative center in the northeastern Indian state of Nagaland.
  • B. Palaonda
    Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
  • C. Peperga
    Peperga is a small village in the Netherlands best known as the birthplace of Dutch colonial governor Peter Stuyvesant.
  • D. Pénjamo
    Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
  • E. Pernis
    Pernis is a major industrial and petrochemical area within the Port of Rotterdam, best known for hosting one of the largest oil refineries in the world.
  • 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: Pernaja
Triple: [Pernå, hasNameInFinnish, Pernaja]
Generated description
Pernaja is a former municipality and coastal village in southern Finland, now part of the town of Loviisa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pernaja
Target entity description: Pernaja is a former municipality and coastal village in southern Finland, now part of the town of Loviisa.
  • A. Peren
    Peren is a town and administrative center in the northeastern Indian state of Nagaland.
  • B. Palaonda
    Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
  • C. Peperga
    Peperga is a small village in the Netherlands best known as the birthplace of Dutch colonial governor Peter Stuyvesant.
  • D. Pénjamo
    Pénjamo is a historic town in the Mexican state of Guanajuato, best known as the birthplace of independence leader Miguel Hidalgo y Costilla.
  • E. Pernis
    Pernis is a major industrial and petrochemical area within the Port of Rotterdam, best known for hosting one of the largest oil refineries in the world.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352d08a0c8190ac6c125df40eca75 completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5fc9f508190a31adb0758555dfa completed March 14, 2026, 11:57 p.m.
NEDg Description generation batch_69b5f9ccfb708190be00532e7f512a0c completed March 15, 2026, 12:14 a.m.
NED2 Entity disambiguation (via description) batch_69b5fa9d7fec81908b53c2e45d0c7fe6 completed March 15, 2026, 12:17 a.m.
Created at: March 12, 2026, 11:28 p.m.